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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. 9-RES-JB
    11. 23622
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    Explanations

    detailed descriptions in the text

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating reluctance to share specific details

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    STER
    -0.59
    KI
    -0.59
     srfAttach
    -0.58
     reperto
    -0.57
    window
    -0.57
    alties
    -0.57
    .","
    -0.56
     UNCLASSIFIED
    -0.56
     imprint
    -0.55
     Come
    -0.55
    POSITIVE LOGITS
     specifics
    1.09
     spoilers
    1.08
     myself
    0.89
     spoiler
    0.83
     exaggeration
    0.78
     details
    0.75
     exagger
    0.75
     rant
    0.75
    argon
    0.73
     elabor
    0.73
    Activations Density 0.276%

    No Known Activations