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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. 9-RES-JB
    11. 17837
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    Explanations

    mentions of sports clubs or organizations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of clubs and their associated activities or contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Accessory
    -0.82
    å¦
    -0.73
    NESS
    -0.66
    PUT
    -0.64
     PLA
    -0.64
    Lenin
    -0.64
     Everywhere
    -0.63
    ians
    -0.61
     Diff
    -0.61
    ãģĹ
    -0.59
    POSITIVE LOGITS
    bing
    1.22
    bers
    1.20
    bable
    1.03
    bies
    1.00
    bish
    0.98
    bed
    0.95
    houses
    0.93
    bered
    0.84
    mers
    0.84
    imore
    0.83
    Activations Density 0.034%

    No Known Activations