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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. 7-RES-JB
    11. 14490
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    hunt
    -0.67
     Stern
    -0.66
    orr
    -0.61
     unification
    -0.59
     Kov
    -0.59
    cer
    -0.58
    otos
    -0.57
    ERAL
    -0.56
    ller
    -0.56
    \\\\\\\\
    -0.55
    POSITIVE LOGITS
    mith
    1.07
     selves
    1.07
    cape
    1.03
    heet
    1.02
    hare
    1.01
    paces
    0.96
    pace
    0.96
     counterparts
    0.96
    hip
    0.95
    cale
    0.88
    Activations Density 0.363%

    No Known Activations