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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. 3-RES-JB
    11. 3647
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    Explanations

    ingredients and food preparation actions

    oai_token-act-pair · gpt-3.5-turbo

    cooking-related adjectives and verbs describing food preparation methods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    achu
    -0.86
    alter
    -0.81
    umbn
    -0.78
    abl
    -0.76
    esville
    -0.75
    thur
    -0.75
    ansky
    -0.75
    abil
    -0.74
    hun
    -0.73
    now
    -0.73
    POSITIVE LOGITS
    paren
    0.84
     subur
    0.81
    rive
    0.75
     versions
    0.75
     goods
    0.73
     tradem
    0.72
    river
    0.71
     copies
    0.70
    uled
    0.67
     referen
    0.67
    Activations Density 0.288%

    No Known Activations