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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 4616
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    Explanations

    phrases related to forceful pulling or involvement in a situation

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "dragged" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OTOS
    -0.68
    bsite
    -0.67
     TBA
    -0.66
    ortium
    -0.66
    owler
    -0.66
    eon
    -0.65
     TBD
    -0.65
     THANK
    -0.65
     Kubrick
    -0.65
    irements
    -0.65
    POSITIVE LOGITS
    ĸļ
    1.00
     drag
    0.80
     dragging
    0.77
    whe
    0.75
     aggro
    0.75
    chet
    0.74
    glers
    0.68
    gered
    0.67
     dragged
    0.67
     Claw
    0.67
    Activations Density 0.011%

    No Known Activations