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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. 6100
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    Explanations

    phrases indicating likelihood or probability

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating probability or likelihood of events

    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
    rief
    -0.80
    ente
    -0.80
    inth
    -0.79
    erno
    -0.77
    gian
    -0.77
    zeb
    -0.75
    ifle
    -0.73
    ogie
    -0.72
    gado
    -0.71
    aredevil
    -0.71
    POSITIVE LOGITS
     infer
    0.75
     releg
    0.73
    Magikarp
    0.70
     likely
    0.70
     elim
    0.69
     confir
    0.69
     culprit
    0.69
     ingred
    0.67
     underestimate
    0.67
     unanimous
    0.67
    Activations Density 0.023%

    No Known Activations