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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. 7230
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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
    ATTLE
    -0.67
    schild
    -0.65
    ALLY
    -0.63
     quantity
    -0.62
     dispatch
    -0.60
    Introduced
    -0.59
     Cummings
    -0.57
    OND
    -0.57
     striking
    -0.57
     tremend
    -0.57
    POSITIVE LOGITS
    ongyang
    1.08
    haps
    0.90
    sylvania
    0.88
    Cola
    0.85
    umatic
    0.85
    asus
    0.85
    merga
    0.85
    chedel
    0.82
    ramid
    0.77
    formance
    0.76
    Activations Density 0.099%

    No Known Activations