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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. 24012
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    Explanations

    adjectives related to clear or evident characteristics

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "obvious" and related qualifiers

    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
    nan
    -0.88
    ingers
    -0.82
    psey
    -0.77
    borg
    -0.76
    uden
    -0.76
    rams
    -0.75
    isol
    -0.73
    iership
    -0.72
    rongh
    -0.69
    berman
    -0.69
    POSITIVE LOGITS
    iary
    0.88
     obvious
    0.84
    holes
    0.77
    tale
    0.74
     Amendments
    0.73
     signs
    0.72
     flaws
    0.69
     Signs
    0.68
    LY
    0.68
    hole
    0.66
    Activations Density 0.012%

    No Known Activations