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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. 3-RES-JB
    11. 24484
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    Explanations

    proper nouns related to a specific location or person

    oai_token-act-pair · gpt-3.5-turbo

    references to 'Wake' and related phrases that indicate awakening or awareness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ahime
    -0.81
    ioned
    -0.76
    bably
    -0.76
    inates
    -0.76
    afort
    -0.71
    served
    -0.69
    atem
    -0.66
    ional
    -0.66
    xual
    -0.64
    remlin
    -0.63
    POSITIVE LOGITS
     Wake
    1.09
    mares
    0.99
    fulness
    0.99
    urst
    0.98
    gate
    0.94
    field
    0.82
    mare
    0.80
    caster
    0.80
    wake
    0.80
    wash
    0.78
    Activations Density 0.007%

    No Known Activations