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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. 9686
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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
    Not in Any Lists

    No Comments

    Negative Logits
    olulu
    -0.76
    gur
    -0.74
     Wanted
    -0.72
    atoon
    -0.68
    hov
    -0.68
    ander
    -0.66
    oning
    -0.65
     Janeiro
    -0.64
    hop
    -0.64
     Allaah
    -0.63
    POSITIVE LOGITS
     wisdom
    1.20
    izations
    0.95
    ization
    0.94
    ties
    0.91
    ised
    0.84
    ized
    0.82
    ities
    0.81
     Warfare
    0.80
    IZ
    0.80
    idad
    0.80
    Activations Density 0.026%

    No Known Activations