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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. 16601
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    INDEX
    Explanations

    mentions of first place finishes and race standings

    oai_token-act-pair · gpt-3.5-turbo

    references to television series and their cast members

    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
     tram
    -0.93
     casc
    -0.90
     equival
    -0.87
     bloc
    -0.81
     tempo
    -0.79
     ration
    -0.78
     crunch
    -0.76
     generators
    -0.76
     resulting
    -0.75
     rubber
    -0.75
    POSITIVE LOGITS
    Born
    1.97
    His
    1.70
    Contents
    1.54
    Trivia
    1.52
    Known
    1.46
    Profile
    1.41
    Interview
    1.40
    Bi
    1.40
    He
    1.40
    During
    1.38
    Activations Density 0.414%

    No Known Activations