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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. 6-RES-JB
    11. 16816
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    INDEX
    Explanations

    statements about the importance or significance of issues or actions

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "it" in various contexts or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Giving
    -0.73
    ruct
    -0.70
     Previous
    -0.68
    Major
    -0.68
    IX
    -0.68
     Offense
    -0.68
    Ground
    -0.67
    Minor
    -0.66
    Missing
    -0.66
     Transcript
    -0.66
    POSITIVE LOGITS
     consequently
    1.05
     certainly
    1.05
    'll
    1.00
     therefore
    0.95
     accordingly
    0.92
     shouldn
    0.90
     doubtless
    0.81
     furthermore
    0.81
     ain
    0.78
     frankly
    0.78
    Activations Density 0.149%

    No Known Activations