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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. 6-RES-JB
    11. 19737
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    Explanations

    phrases indicating probability or likelihood

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating probability or likelihood

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gado
    -0.81
    elta
    -0.79
    zeb
    -0.79
    entric
    -0.77
    ente
    -0.76
    hips
    -0.76
    inth
    -0.76
    elt
    -0.74
    uart
    -0.74
    ometimes
    -0.74
    POSITIVE LOGITS
     underestimate
    0.80
     underest
    0.79
     culprit
    0.73
     releg
    0.72
     linem
    0.71
     overest
    0.70
    cffff
    0.67
     underestimated
    0.67
     elector
    0.66
     inference
    0.65
    Activations Density 0.036%

    No Known Activations