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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. 20681
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    Explanations

    words related to dietary fat content

    oai_token-act-pair · gpt-3.5-turbo

    references to fat content in foods

    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
    ECH
    -0.77
    ULT
    -0.73
     Schr
    -0.72
     Ascend
    -0.70
     Aerospace
    -0.69
    UAL
    -0.69
     PV
    -0.68
     Starship
    -0.68
     Chatt
    -0.68
     Vaugh
    -0.67
    POSITIVE LOGITS
    igue
    1.09
    rition
    1.07
    hered
    0.91
    tailed
    0.89
    bag
    0.88
    fat
    0.88
    bike
    0.85
     fat
    0.82
    wallet
    0.82
    bags
    0.82
    Activations Density 0.007%

    No Known Activations