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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. 9-RES-JB
    11. 5971
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    Explanations

    expressions of surprise or strong emotion

    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
    ãĥ¼ãĥĨ
    -0.69
     credential
    -0.67
     contested
    -0.65
     prescriptions
    -0.64
     differentiated
    -0.64
     stewards
    -0.64
     denomin
    -0.64
     contingency
    -0.63
     retained
    -0.62
     laboratories
    -0.62
    POSITIVE LOGITS
     haha
    1.23
    yeah
    1.20
    lol
    1.14
    sorry
    1.11
    HAHA
    1.09
     lol
    1.09
     yeah
    1.04
    mmmm
    1.02
     :(
    1.01
    Anyway
    1.00
    Activations Density 0.593%

    No Known Activations