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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
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    Explanations

    mentions of the word "chant" at varying activation levels

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "chant" and its variations

    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
    soDeliveryDate
    -0.85
    UTION
    -0.84
    earchers
    -0.79
    issance
    -0.78
    inventoryQuantity
    -0.76
    MET
    -0.73
    pload
    -0.73
    TOR
    -0.73
    çīĪ
    -0.72
    OURCE
    -0.70
    POSITIVE LOGITS
    heon
    0.90
    ucket
    0.90
    ean
    0.87
    agonist
    0.87
    ioch
    0.84
    onso
    0.82
    anamo
    0.81
    asia
    0.81
    rans
    0.80
    ropy
    0.80
    Activations Density 0.016%

    No Known Activations