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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. 11950
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    Explanations

    words related to types of food

    oai_token-act-pair · gpt-3.5-turbo

    references to food or cuisine

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ultan
    -0.83
    icus
    -0.82
    acca
    -0.77
    ulkan
    -0.76
    eenth
    -0.75
    iversal
    -0.75
    ulating
    -0.71
    antha
    -0.71
    urally
    -0.70
    ural
    -0.70
    POSITIVE LOGITS
     fare
    1.13
     fares
    1.08
    ttes
    0.78
    ptin
    0.76
    bill
    0.72
     evasion
    0.70
    jit
    0.69
    well
    0.69
     Fare
    0.69
    fare
    0.68
    Activations Density 0.010%

    No Known Activations