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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. 20215
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    Explanations

    keywords related to product recalls

    oai_token-act-pair · gpt-3.5-turbo

    references to recalls or mentions of recalling specific items, events, or information

    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
    quart
    -0.76
    asin
    -0.74
    doms
    -0.73
    glers
    -0.71
    iak
    -0.71
    htar
    -0.71
    osphere
    -0.71
    swick
    -0.71
    \\\\\\\\\\\\\\\\
    -0.70
     Piece
    -0.70
    POSITIVE LOGITS
     Recall
    1.09
     recall
    1.04
     recalling
    0.79
    remember
    0.78
    BACK
    0.72
     recalls
    0.68
     valve
    0.67
     advis
    0.67
     Roundup
    0.67
    backs
    0.66
    Activations Density 0.009%

    No Known Activations