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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. 2-RES-JB
    11. 9294
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    Explanations

    references to induction into the Hall of Fame

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Hall of Fame

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     eleph
    -0.76
     Gork
    -0.70
     oppos
    -0.65
    ften
    -0.63
    uyomi
    -0.61
    ropolitan
    -0.61
    itars
    -0.60
    ting
    -0.59
     lightly
    -0.59
    ted
    -0.58
    POSITIVE LOGITS
    iday
    1.38
    Hall
    1.13
    aday
    1.07
    ibur
    1.05
     Hall
    1.05
    oran
    1.00
    gren
    1.00
    hall
    0.90
    way
    0.89
    ows
    0.88
    Activations Density 0.008%

    No Known Activations