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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. 15737
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    milo
    -0.88
     mathemat
    -0.87
     Seym
    -0.86
    wana
    -0.86
    enhagen
    -0.84
     reconc
    -0.80
     Pwr
    -0.79
    ammy
    -0.75
    osate
    -0.75
     hitch
    -0.75
    POSITIVE LOGITS
    âĸ¬âĸ¬
    1.25
    ¬
    0.98
    âĸ¬
    0.94
    âĶĢâĶĢâĶĢâĶĢ
    0.89
    ward
    0.83
    jah
    0.78
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    0.77
    cy
    0.75
    âĶĢâĶĢ
    0.73
    bone
    0.71
    Activations Density 0.005%

    No Known Activations