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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. 6-RES-JB
    11. 7051
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    Explanations

    nutritional information, particularly related to macronutrients and vitamins

    oai_token-act-pair · gpt-3.5-turbo

    numerical values related to nutritional information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rolet
    -0.73
    lehem
    -0.66
    é¾įå¥ij士
    -0.61
    Reviewer
    -0.61
    ãĥ¼ãĥĨ
    -0.59
    cult
    -0.59
    ogyn
    -0.57
     Palestin
    -0.57
    ilant
    -0.56
     vanity
    -0.54
    POSITIVE LOGITS
    ½
    1.07
    86
    0.95
    96
    0.92
    63
    0.90
    89
    0.87
    62
    0.84
    221
    0.84
    61
    0.82
    120
    0.81
    93
    0.81
    Activations Density 0.168%

    No Known Activations