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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. 8-RES-JB
    11. 14916
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    INDEX
    Explanations

    references to a team in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to teams and teamwork

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    forward
    -0.74
    Sov
    -0.70
    tml
    -0.68
    fect
    -0.65
    Film
    -0.63
     plur
    -0.63
    ously
    -0.62
    ibrary
    -0.62
     Franch
    -0.62
     Sprite
    -0.60
    POSITIVE LOGITS
    members
    1.23
     members
    1.08
     mates
    1.07
    peak
    1.06
    member
    1.00
     member
    0.98
    mates
    0.92
    rons
    0.88
    sters
    0.88
    ioned
    0.86
    Activations Density 0.066%

    No Known Activations