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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. 9-RES-JB
    11. 11704
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    Explanations

    mentions of the word "Bang."

    oai_token-act-pair · gpt-3.5-turbo

    the specific phrase "Bang" and related references to it

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ensional
    -0.72
    cedes
    -0.67
    haps
    -0.64
    icient
    -0.63
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.63
    VICE
    -0.63
    eper
    -0.61
     externalToEVAOnly
    -0.61
     Cly
    -0.61
    pent
    -0.60
    POSITIVE LOGITS
    alore
    1.33
    kok
    1.31
     bang
    1.11
    bang
    1.08
    Bang
    1.06
     Bang
    1.05
    adesh
    0.94
    alter
    0.91
    la
    0.84
    sam
    0.83
    Activations Density 0.030%

    No Known Activations