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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. 0-RES-JB
    11. 9441
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    Explanations

    words related to a specific person or group mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "whom"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    izzle
    -0.67
    REL
    -0.57
     buildup
    -0.52
     Retrieved
    -0.52
    aceous
    -0.52
     Available
    -0.52
    BF
    -0.52
    motion
    -0.51
     standalone
    -0.51
     Invalid
    -0.49
    POSITIVE LOGITS
     whom
    3.78
    who
    1.91
    whose
    1.86
     whose
    1.86
     who
    1.67
     whence
    1.23
     which
    1.04
    Who
    1.02
    omever
    0.99
     Who
    0.99
    Activations Density 0.012%

    No Known Activations