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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. 439
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    Explanations

    references to specific terms or topics within a context

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "references" and its related context

    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
    ridge
    -0.79
     Atlantic
    -0.68
     Hoo
    -0.66
     Isle
    -0.65
    onew
    -0.64
     heart
    -0.64
    Av
    -0.63
    ART
    -0.63
    Flight
    -0.62
    ¯¯¯¯
    -0.61
    POSITIVE LOGITS
     references
    1.23
     References
    0.90
     referencing
    0.84
    lip
    0.82
    ="#
    0.81
    reference
    0.76
    ibly
    0.75
     referenced
    0.75
     reference
    0.74
     citations
    0.74
    Activations Density 0.012%

    No Known Activations