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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. 6-RES-JB
    11. 4317
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to ancient or historical contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     incorpor
    -0.75
    raints
    -0.73
     lapt
    -0.73
     vulner
    -0.70
    ktop
    -0.70
     condem
    -0.70
     tides
    -0.70
     disadvant
    -0.70
     ropes
    -0.69
     Instr
    -0.69
    POSITIVE LOGITS
    âĶĢâĶĢ
    1.21
    ï¸ı
    1.11
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    1.06
    âĶĢâĶĢâĶĢâĶĢ
    0.96
    °
    0.84
    STER
    0.82
    ----------------------------------------------------------------
    0.78
    AUT
    0.76
    conom
    0.75
    İ
    0.73
    Activations Density 0.123%

    No Known Activations