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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. 7454
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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 occurring

    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
     Tags
    -0.76
    ente
    -0.76
    oos
    -0.75
    entric
    -0.73
    inth
    -0.73
    olded
    -0.72
    alin
    -0.72
    rief
    -0.72
    ogie
    -0.68
    ights
    -0.68
    POSITIVE LOGITS
     releg
    0.90
     likely
    0.84
     confir
    0.73
     Likely
    0.71
     elim
    0.71
     infer
    0.71
     conclud
    0.70
     resil
    0.70
    onna
    0.69
     culprit
    0.68
    Activations Density 0.024%

    No Known Activations