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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. 12465
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    Explanations

    mentions of classified or confidential information

    oai_token-act-pair · gpt-3.5-turbo

    references to classified or confidential information

    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
    alone
    -0.78
    addons
    -0.70
    thood
    -0.70
     Ambro
    -0.68
    bars
    -0.68
    gaard
    -0.68
    DR
    -0.67
     Wilde
    -0.67
     Stick
    -0.67
    annis
    -0.67
    POSITIVE LOGITS
    arial
    1.24
    ariat
    1.13
     secret
    0.95
    secret
    0.89
     memos
    0.89
    classified
    0.84
     ballot
    0.84
     documents
    0.81
    Documents
    0.80
     confidential
    0.78
    Activations Density 0.021%

    No Known Activations