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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. 3-RES-JB
    11. 20324
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    Explanations

    mentions of positive interactions or relationships with teammates in a sports context

    oai_token-act-pair · gpt-3.5-turbo

    mentions of teammates or team-related terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    brow
    -0.79
    direction
    -0.74
    atra
    -0.73
    warning
    -0.72
    course
    -0.69
    isen
    -0.69
    osc
    -0.69
    scape
    -0.68
    vet
    -0.67
    skinned
    -0.66
    POSITIVE LOGITS
     teammate
    1.22
     teammates
    1.20
    mates
    1.05
    ubs
    0.92
     colleagues
    0.89
     mates
    0.89
     coworkers
    0.80
     colleague
    0.78
     classmates
    0.76
     nicknamed
    0.73
    Activations Density 0.010%

    No Known Activations