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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 8200
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    oai_token-act-pair · gpt-3.5-turbo
    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
    oward
    -0.77
    endon
    -0.75
    ammed
    -0.69
    lyn
    -0.69
    amia
    -0.64
    ukong
    -0.64
    venge
    -0.64
     earthqu
    -0.63
    ierce
    -0.63
    auer
    -0.62
    POSITIVE LOGITS
     negligible
    1.26
     insignificant
    1.19
     barely
    1.17
     nowhere
    1.16
     meager
    1.15
     hardly
    1.11
     none
    1.05
     scarcely
    1.03
     aside
    1.03
     scant
    1.02
    Activations Density 0.780%

    No Known Activations