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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. 1-RES-JB
    11. 22003
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    INDEX
    Explanations

    the word "Team" followed by a number

    oai_token-act-pair · gpt-3.5-turbo

    references to specific teams in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ocene
    -0.87
    ously
    -0.76
    oths
    -0.74
    fect
    -0.70
    iscopal
    -0.69
     plur
    -0.67
     sensit
    -0.67
    Downloadha
    -0.66
    duction
    -0.66
    uador
    -0.64
    POSITIVE LOGITS
    mates
    1.08
     Team
    1.01
     mates
    0.93
    mate
    0.90
     Leader
    0.82
    Team
    0.81
    liquid
    0.81
    Liquid
    0.78
     Teams
    0.77
    team
    0.76
    Activations Density 0.017%

    No Known Activations