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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. 9-RES-JB
    11. 5979
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    INDEX
    Explanations

    names of celebrities or influential figures

    oai_token-act-pair · gpt-3.5-turbo

    unique identifiers or names of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĶĢâĶĢ
    -0.63
     envy
    -0.59
     Curiosity
    -0.57
    ··
    -0.55
     nostalgia
    -0.53
    ModLoader
    -0.53
     cubes
    -0.52
     CLS
    -0.52
     territorial
    -0.51
     ambassadors
    -0.51
    POSITIVE LOGITS
    kowski
    1.01
    chuk
    0.97
    ansky
    0.97
    ovich
    0.96
    nick
    0.94
    zinski
    0.94
    inski
    0.94
    zynski
    0.93
    opoulos
    0.89
    otti
    0.89
    Activations Density 0.326%

    No Known Activations