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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. 4856
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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
     eleph
    -0.64
     +++
    -0.64
     exting
    -0.62
     encount
    -0.59
     helicop
    -0.58
    uckland
    -0.57
    redo
    -0.56
    affe
    -0.56
    ccording
    -0.55
     scrim
    -0.55
    POSITIVE LOGITS
     to
    1.02
    ly
    0.77
    liest
    0.75
     TO
    0.72
    to
    0.71
    lly
    0.70
    To
    0.70
    Values
    0.68
    Wiki
    0.66
     unto
    0.65
    Activations Density 0.046%

    No Known Activations