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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. 11246
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    Explanations

    phrases related to weight and weight loss

    oai_token-act-pair · gpt-3.5-turbo

    mentions of weight-related topics

    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
     Mn
    -0.85
    BLE
    -0.83
    ICLE
    -0.82
     Edison
    -0.74
     Mb
    -0.73
     Vide
    -0.69
     Morse
    -0.69
     Wit
    -0.68
     Mou
    -0.68
    opsis
    -0.67
    POSITIVE LOGITS
    lifting
    0.99
    cakes
    0.88
    rition
    0.86
     calves
    0.84
    fat
    0.84
     weights
    0.83
     overweight
    0.83
     weight
    0.83
     physique
    0.82
    lif
    0.80
    Activations Density 0.018%

    No Known Activations