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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. 6-RES-JB
    11. 18402
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    INDEX
    Explanations

    information related to polling and surveys

    oai_token-act-pair · gpt-3.5-turbo

    references to surveys and polls

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Flavoring
    -0.93
     Leilan
    -0.85
    ModLoader
    -0.84
    ahime
    -0.74
    EngineDebug
    -0.74
    gur
    -0.74
     Grain
    -0.71
     Revel
    -0.67
    cream
    -0.67
    gradation
    -0.67
    POSITIVE LOGITS
    ster
    1.09
    sters
    1.08
     conducted
    0.97
     respondent
    0.94
    uting
    0.86
     respondents
    0.86
    uter
    0.84
    STER
    0.84
    inators
    0.82
     averages
    0.82
    Activations Density 0.023%

    No Known Activations