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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. 8-RES-JB
    11. 3936
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    names or proper nouns related to certain entities or individuals in context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     necessities
    -0.62
     scratch
    -0.61
    borne
    -0.60
    matically
    -0.57
    mable
    -0.56
     Canadians
    -0.56
    Ùĩ
    -0.55
     Midwest
    -0.55
     disgr
    -0.55
    Trend
    -0.55
    POSITIVE LOGITS
    xual
    1.08
    cia
    0.98
    icz
    0.94
    ews
    0.94
    anse
    0.93
    opsis
    0.91
    zyk
    0.90
    akis
    0.89
    ione
    0.89
    unda
    0.89
    Activations Density 0.288%

    No Known Activations