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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. 7-RES-JB
    11. 3948
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    Explanations

    proper nouns or specialized terms

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "count"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Else
    -0.69
     impulse
    -0.66
    coe
    -0.66
    Sov
    -0.65
    illin
    -0.63
    BIT
    -0.63
    natureconservancy
    -0.61
    OPLE
    -0.61
    wcsstore
    -0.59
     reperto
    -0.59
    POSITIVE LOGITS
    enance
    1.56
    ess
    1.20
    esses
    1.18
    ries
    0.91
    eenth
    0.89
    reys
    0.85
    ies
    0.82
    rey
    0.79
    ing
    0.79
    iful
    0.78
    Activations Density 0.026%

    No Known Activations