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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. 1338
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    Explanations

    names or mentions of various networks

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various media networks

    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
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    -0.79
    uations
    -0.75
    furt
    -0.73
    gone
    -0.73
    ppy
    -0.71
    gets
    -0.71
    roc
    -0.69
    teenth
    -0.68
    ffee
    -0.67
    endered
    -0.66
    POSITIVE LOGITS
     Network
    1.13
     Networks
    1.03
     Tycoon
    0.91
     Rail
    0.87
     Security
    0.85
    anyahu
    0.84
     Advertising
    0.84
     Connection
    0.83
     Solutions
    0.82
    edIn
    0.81
    Activations Density 0.013%

    No Known Activations