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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. 7306
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    Explanations

    numerical rankings or lists

    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
    Not in Any Lists

    No Comments

    Negative Logits
    uala
    -0.74
    acet
    -0.72
    ington
    -0.69
    joy
    -0.66
    igham
    -0.66
    ajor
    -0.65
    Gy
    -0.65
     Introduced
    -0.64
    elcome
    -0.64
    arist
    -0.63
    POSITIVE LOGITS
    %:
    0.92
     earners
    0.90
     contenders
    0.89
     percent
    0.82
     bidder
    0.81
     rankings
    0.79
     contender
    0.78
    %
    0.78
    %,
    0.77
     tiers
    0.77
    Activations Density 0.033%

    No Known Activations