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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
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    Explanations

    references to types of food or meals

    oai_token-act-pair · gpt-3.5-turbo

    references to food, particularly in relation to fare in various contexts

    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
    icus
    -0.87
    antha
    -0.73
    eenth
    -0.72
    ieth
    -0.71
    acca
    -0.71
    auga
    -0.69
    ural
    -0.68
    ember
    -0.68
    orp
    -0.67
    DOC
    -0.67
    POSITIVE LOGITS
     fares
    1.15
     fare
    1.13
    ttes
    0.91
    fare
    0.83
    ptin
    0.75
     Fare
    0.70
    well
    0.70
    querade
    0.69
    asures
    0.69
    ways
    0.68
    Activations Density 0.005%

    No Known Activations