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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. 4-RES-JB
    11. 13129
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    oai_token-act-pair · gpt-3.5-turbo

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

    No Comments

    Negative Logits
    achy
    -0.76
    ello
    -0.72
    croft
    -0.71
    ially
    -0.70
     LIMITED
    -0.68
    Released
    -0.68
    merce
    -0.67
     payable
    -0.67
    particularly
    -0.65
     conveyed
    -0.65
    POSITIVE LOGITS
     shore
    0.94
     haunt
    0.89
     pasture
    0.82
     date
    0.79
     retake
    0.71
     prominence
    0.70
     track
    0.69
    asty
    0.69
     finish
    0.69
     revive
    0.68
    Activations Density 0.129%

    No Known Activations