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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. 10-RES-JB
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    Explanations

    mentions of the specific word "Lex" at different activation levels

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Lex" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     parties
    -0.74
     extremes
    -0.69
    OTS
    -0.68
    aternity
    -0.68
     Parties
    -0.66
     fools
    -0.60
    ============
    -0.59
    ^^^^
    -0.59
     truce
    -0.58
    cknow
    -0.58
    POSITIVE LOGITS
    ibly
    1.15
    icon
    1.13
     Luthor
    1.13
    ibility
    1.11
    ician
    1.08
    ible
    1.04
     Machina
    1.02
    aminer
    1.01
    ical
    0.99
    avier
    0.97
    Activations Density 0.041%

    No Known Activations