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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. 10966
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    Explanations

    representatives or people from various organizations or departments

    oai_token-act-pair · gpt-3.5-turbo

    mentions of representatives and their affiliations or sources

    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
    Not in Any Lists

    No Comments

    Negative Logits
    coins
    -0.77
    pieces
    -0.70
    adoes
    -0.68
    boats
    -0.65
    1964
    -0.65
     dice
    -0.64
    ograms
    -0.64
    ãĤ¦ãĤ¹
    -0.63
    ben
    -0.62
     pudding
    -0.60
    POSITIVE LOGITS
     academia
    0.91
     organisations
    0.85
     departments
    0.79
     Organization
    0.79
     organizations
    0.78
     Amnesty
    0.76
     Organisation
    0.76
     Ministry
    0.76
    sembly
    0.76
     Organizations
    0.75
    Activations Density 0.330%

    No Known Activations