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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
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    Explanations

    mentions of the word "Mom"

    oai_token-act-pair · gpt-3.5-turbo

    references to "Mom" and maternal figures

    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
     claimants
    -0.64
     similarities
    -0.63
    lihood
    -0.63
    chnology
    -0.63
    ommel
    -0.62
     Commonwealth
    -0.61
     similarity
    -0.60
     Tribunal
    -0.59
     Flavoring
    -0.59
     extrap
    -0.59
    POSITIVE LOGITS
    my
    1.55
    ma
    1.20
    mers
    1.15
    mer
    1.08
    entary
    1.03
    iji
    1.02
    hesis
    1.02
    ents
    0.98
    ming
    0.97
    MY
    0.97
    Activations Density 0.035%

    No Known Activations