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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. 12092
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    Explanations

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    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
    ovies
    -0.75
    Bone
    -0.73
    hair
    -0.68
    imir
    -0.67
    some
    -0.65
    andra
    -0.64
    ridge
    -0.62
    si
    -0.62
    wind
    -0.61
    andise
    -0.60
    POSITIVE LOGITS
     thereof
    0.90
    eering
    0.86
    eers
    0.83
     detail
    0.82
    ally
    0.78
    ality
    0.74
    ause
    0.73
    alled
    0.73
     timelines
    0.73
    alities
    0.72
    Activations Density 0.060%

    No Known Activations