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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. 9-RES-JB
    11. 5341
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    Explanations

    phrases indicating a significant event or achievement

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating significant achievements or important occurrences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ugal
    -0.59
     violate
    -0.58
     violates
    -0.58
     desired
    -0.56
     itch
    -0.56
    average
    -0.54
    iled
    -0.53
     incrim
    -0.53
     Uniform
    -0.52
     tick
    -0.52
    POSITIVE LOGITS
    hower
    0.90
    when
    0.84
    20439
    0.79
     when
    0.75
    during
    0.73
     during
    0.71
    lycer
    0.68
    etsk
    0.66
    cence
    0.64
    backs
    0.62
    Activations Density 0.167%

    No Known Activations