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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 14701
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    Explanations

    question marks followed by line breaks in interview-style text.

    oai_token-act-pair · claude-3-5-sonnet-20240620Triggered by @danielepoterti

    patterns related to the structure of a conversation or dialogue, specifically related to turn-taking and dialogue attribution

    oai_token-act-pair · gpt-3.5-turbo

    questions that prompt discussion or opinions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     casc
    -0.71
     downstream
    -0.71
     grav
    -0.70
     existential
    -0.68
     galvan
    -0.66
     vicious
    -0.66
     probing
    -0.65
     Watergate
    -0.65
     multiplied
    -0.64
     cartel
    -0.64
    POSITIVE LOGITS
    Answer
    1.11
    AH
    1.03
    gow
    1.00
    OA
    0.97
    JM
    0.96
    JB
    0.93
    SG
    0.92
    Yeah
    0.92
    VB
    0.90
    RM
    0.90
    Activations Density 0.109%

    No Known Activations