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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. 4-RES-JB
    11. 1767
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    INDEX
    Explanations

    references to survey results among a specified group of adults, along with details like percentages and margins of error

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics related to demographics and survey results

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

    No Comments

    Negative Logits
    unct
    -0.77
    orage
    -0.75
    atorium
    -0.75
    artifacts
    -0.74
    RIP
    -0.73
     Aure
    -0.72
    hod
    -0.72
    esis
    -0.69
    aundering
    -0.69
    development
    -0.68
    POSITIVE LOGITS
     polled
    1.25
     surveyed
    1.20
     respondents
    1.07
     Gallup
    1.07
     undecided
    0.95
     answ
    0.89
     independents
    0.88
     surveys
    0.87
     respondent
    0.87
     voters
    0.85
    Activations Density 0.446%

    No Known Activations