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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. 11-RES-JB
    11. 17604
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    Explanations

    proper nouns, specifically names such as "Andy"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Andy"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hips
    -0.85
    ledged
    -0.74
    ega
    -0.68
    prise
    -0.67
    finding
    -0.66
    maid
    -0.64
    dict
    -0.64
    porting
    -0.63
    ingen
    -0.63
    dn
    -0.62
    POSITIVE LOGITS
     Dalton
    0.88
     Weir
    0.86
     Kaufman
    0.85
     Lyons
    0.79
     Slav
    0.77
     Carroll
    0.77
     Coul
    0.77
     Grove
    0.76
     Griffith
    0.75
     Murray
    0.75
    Activations Density 0.022%

    No Known Activations