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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. 10-RES-JB
    11. 4778
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    omore
    -0.74
    court
    -0.74
    roit
    -0.70
    geist
    -0.68
     Hiroshima
    -0.68
    bush
    -0.68
    lahoma
    -0.67
    ovich
    -0.67
    minster
    -0.67
    wealth
    -0.66
    POSITIVE LOGITS
    Fs
    1.46
    Bs
    1.41
    Ms
    1.39
    Ds
    1.36
    Ns
    1.34
    Ps
    1.31
    Gs
    1.30
    Vs
    1.29
    Cs
    1.16
    IDs
    1.15
    Activations Density 0.140%

    No Known Activations