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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. 10-RES-JB
    11. 8357
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    Explanations

    phrases indicating reading or writing operations within the context of programming or data handling

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xon
    -0.72
     Zur
    -0.64
    ality
    -0.63
    اÙĦ
    -0.61
     snapping
    -0.59
    ño
    -0.58
     Goodman
    -0.58
     WWF
    -0.58
    amera
    -0.57
    senal
    -0.57
    POSITIVE LOGITS
     aloud
    1.46
    just
    1.27
     comprehension
    1.19
    ying
    1.05
    ied
    1.04
    write
    0.97
    dress
    0.97
    mitted
    0.91
    mitt
    0.90
    ahead
    0.90
    Activations Density 0.054%

    No Known Activations