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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 21346
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    INDEX
    Explanations

    references to fires

    oai_token-act-pair · gpt-3.5-turbo

    mentions of fire-related incidents or terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xus
    -0.83
     Virtue
    -0.80
     Vide
    -0.80
     Freed
    -0.75
    Tok
    -0.71
    laus
    -0.70
    amaru
    -0.69
    atem
    -0.68
    afort
    -0.67
    Birth
    -0.65
    POSITIVE LOGITS
    flies
    1.13
    storm
    1.06
     exting
    1.05
    fighting
    1.00
    proof
    0.96
    storms
    0.95
    fight
    0.93
    trap
    0.92
    bomb
    0.92
    balls
    0.90
    Activations Density 0.022%

    No Known Activations