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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. 9-RES-JB
    11. 1583
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    Explanations

    people's names and opinions related to them

    oai_token-act-pair · gpt-3.5-turbo

    statements indicating strong opinions or evaluations about individuals or their capabilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     recounts
    -0.75
     COURT
    -0.69
    £ı
    -0.69
     accuses
    -0.68
     Reporting
    -0.66
    toggle
    -0.66
     spills
    -0.64
     complains
    -0.64
     accuse
    -0.63
    imony
    -0.62
    POSITIVE LOGITS
     viable
    1.29
     superior
    1.28
     preferable
    1.27
     underrated
    1.22
     optimal
    1.21
     worthy
    1.19
     worth
    1.19
     deserving
    1.16
     suitable
    1.16
     desirable
    1.10
    Activations Density 0.734%

    No Known Activations