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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. 3-RES-JB
    11. 15222
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    Explanations

    proper nouns, particularly names like "Joey" and "Giovanna"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Joey" and related identifiers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ivities
    -0.84
    stroke
    -0.83
    ochond
    -0.82
    ELY
    -0.78
    portation
    -0.75
    nov
    -0.74
    DAQ
    -0.73
    nesota
    -0.72
    izations
    -0.72
    ported
    -0.70
    POSITIVE LOGITS
     Joey
    0.89
     Kramer
    0.70
     Styles
    0.70
     Dough
    0.68
     Crawford
    0.68
    ¬¼
    0.68
     Straw
    0.66
     Rosenthal
    0.66
     Felix
    0.66
    asma
    0.66
    Activations Density 0.019%

    No Known Activations