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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. 5918
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    Explanations

    keywords related to prominence or importance within a context

    oai_token-act-pair · gpt-3.5-turbo

    unique and distinct character descriptions, particularly in a fantastical or imaginative context

    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
    omever
    -0.65
    ridor
    -0.65
    ãĥ¼ãĥ³
    -0.61
     [*
    -0.60
    See
    -0.59
     helicop
    -0.59
    anwhile
    -0.58
     Vaugh
    -0.58
    arantine
    -0.58
    ascript
    -0.58
    POSITIVE LOGITS
     favourite
    0.82
     playable
    0.81
     traitor
    0.72
     badass
    0.72
     underrated
    0.70
     manga
    0.69
     destroyer
    0.69
     staple
    0.67
     contender
    0.67
     slang
    0.66
    Activations Density 0.372%

    No Known Activations