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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. 8-RES-JB
    11. 23747
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    Explanations

    references to cats

    oai_token-act-pair · gpt-3.5-turbo

    references to cats

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    undo
    -0.78
     Sacrament
    -0.75
    eous
    -0.70
    indal
    -0.70
    oppable
    -0.69
    unda
    -0.68
     htt
    -0.66
     Institution
    -0.65
     Renew
    -0.63
    FontSize
    -0.62
    POSITIVE LOGITS
    aclysm
    1.25
    heter
    1.22
    chers
    0.99
    fish
    0.97
     kittens
    0.91
    hawk
    0.89
     kitten
    0.88
     paws
    0.85
    wal
    0.81
    walk
    0.81
    Activations Density 0.028%

    No Known Activations