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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. 16157
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    INDEX
    Explanations

    words related to strong feelings or perceptions

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing various forms of 'sense' or awareness

    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
    theless
    -0.82
    annis
    -0.82
    sites
    -0.80
    morrow
    -0.76
    onial
    -0.71
     helicop
    -0.68
    dule
    -0.67
     downed
    -0.66
    mercial
    -0.64
    estones
    -0.63
    POSITIVE LOGITS
    ively
    0.90
    omatic
    0.84
     sense
    0.83
     Sense
    0.77
    uitive
    0.73
    ibly
    0.73
     urgency
    0.73
    ibility
    0.71
     intuitive
    0.71
    abul
    0.71
    Activations Density 0.017%

    No Known Activations