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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. 7249
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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
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    No Comments

    Negative Logits
    saw
    -0.76
    088
    -0.74
    deck
    -0.72
    riers
    -0.72
    names
    -0.71
    hovah
    -0.71
    mares
    -0.70
    theless
    -0.70
    aws
    -0.69
    terday
    -0.69
    POSITIVE LOGITS
    ya
    0.96
    emi
    0.91
    ye
    0.82
    acs
    0.81
    ples
    0.81
    Äĩ
    0.79
    athan
    0.78
    inen
    0.77
    arius
    0.77
    zzle
    0.76
    Activations Density 0.043%

    No Known Activations