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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. 2461
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    Explanations

    quotes followed by a person's name

    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
    XXX
    -0.72
     aven
    -0.71
    »Ĵ
    -0.71
    ãĥij
    -0.69
     unprotected
    -0.67
    ĻĤ
    -0.67
    Appearances
    -0.67
     revenge
    -0.67
    osite
    -0.66
     vend
    -0.65
    POSITIVE LOGITS
     explains
    1.12
     says
    1.09
     researcher
    1.00
     explained
    0.93
     Liang
    0.92
    said
    0.92
     said
    0.89
     Zhang
    0.88
     Choi
    0.87
     Fein
    0.86
    Activations Density 0.179%

    No Known Activations