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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. 7263
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    INDEX
    Explanations

    percentage figures throughout textual data

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics regarding public opinion polls

    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
    Redd
    -0.73
    mone
    -0.71
    gran
    -0.65
     Rav
    -0.64
    advertisement
    -0.64
    artifacts
    -0.62
    icon
    -0.61
    resources
    -0.61
    ãĤ¶
    -0.58
    pload
    -0.58
    POSITIVE LOGITS
     polled
    1.20
     surveyed
    1.16
     disapprove
    1.11
     respondents
    1.11
    agree
    1.00
     approve
    0.95
    ecided
    0.92
     undecided
    0.88
     chose
    0.86
     agree
    0.86
    Activations Density 0.081%

    No Known Activations