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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

    proper nouns, specifically the name "Michele" and "NV Energy"

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to specific individuals and organizations

    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
    ngth
    -0.99
    es
    -0.84
    ickson
    -0.84
    ington
    -0.82
    fare
    -0.81
    hip
    -0.80
    hops
    -0.79
    ese
    -0.79
    oric
    -0.77
    ivers
    -0.76
    POSITIVE LOGITS
    agne
    0.72
     NV
    0.69
     DRAG
    0.67
    displayText
    0.65
    PRES
    0.65
     Voters
    0.64
    ENDED
    0.61
     Darrell
    0.61
    aeda
    0.60
     Flames
    0.60
    Activations Density 0.029%

    No Known Activations