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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. 2-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    merce
    -0.77
    minist
    -0.76
    alian
    -0.73
    ensional
    -0.73
    rium
    -0.71
    Fram
    -0.70
    uality
    -0.69
    icide
    -0.69
    itutional
    -0.68
    igation
    -0.68
    POSITIVE LOGITS
     rough
    0.99
     edges
    0.85
    ãģį
    0.74
     sketches
    0.72
    heet
    0.71
    ball
    0.71
    hed
    0.71
     bumps
    0.70
    cut
    0.70
    eneg
    0.69
    Activations Density 0.006%

    No Known Activations