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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. 16220
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    Explanations

    verbs or nouns related to specifying conditions or actions that must be followed or met

    oai_token-act-pair · gpt-3.5-turbo

    terms related to regulations and stipulations

    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
    lett
    -0.70
    pocket
    -0.70
     iT
    -0.67
    oche
    -0.64
     Flavoring
    -0.62
     Citiz
    -0.62
    appers
    -0.62
     fascination
    -0.61
     Sunder
    -0.60
    pson
    -0.60
    POSITIVE LOGITS
    ificate
    0.80
    ignty
    0.80
    yy
    0.76
    ble
    0.73
     concerning
    0.71
     mandates
    0.69
    ially
    0.69
    rules
    0.69
    enance
    0.68
    \":
    0.68
    Activations Density 0.094%

    No Known Activations