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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. 2-RES-JB
    11. 18609
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    Explanations

    phrases related to excessive consumption or indulgence, such as bingeing

    oai_token-act-pair · gpt-3.5-turbo

    terms related to binge behavior and physical eating patterns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Professional
    -0.75
     Rossi
    -0.72
     Fiorina
    -0.71
     Qiao
    -0.70
     Profession
    -0.70
     Haley
    -0.69
    lli
    -0.69
     Dee
    -0.69
     Booker
    -0.69
    NRS
    -0.68
    POSITIVE LOGITS
     binge
    1.14
    itual
    0.85
    itors
    0.76
     habits
    0.75
    estinal
    0.75
     hoard
    0.72
    watching
    0.72
     fasting
    0.72
    uler
    0.72
     actionGroup
    0.72
    Activations Density 0.020%

    No Known Activations