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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. 11-RES-JB
    11. 3427
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    Explanations

    phrases related to successful accomplishments

    oai_token-act-pair · gpt-3.5-turbo

    terms related to success and achievement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    alon
    -0.76
    facts
    -0.69
    anguage
    -0.67
    IGH
    -0.67
    uty
    -0.67
    angelo
    -0.66
    respected
    -0.63
    afety
    -0.62
    Heat
    -0.61
    atum
    -0.61
    POSITIVE LOGITS
     bidder
    1.19
     completion
    1.13
     attempts
    0.90
     ventures
    0.86
     attempt
    0.86
     endeavors
    0.84
     prosecutions
    0.82
     prosecution
    0.81
     enterprises
    0.81
     Kickstarter
    0.81
    Activations Density 0.073%

    No Known Activations