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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. 7291
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    INDEX
    Explanations

    research findings and their implications in various fields of study

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to research findings and their implications

    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
     haircut
    -0.73
     invaded
    -0.66
    blade
    -0.65
     vanquished
    -0.64
     bombed
    -0.62
    shit
    -0.62
     Default
    -0.62
     forgot
    -0.62
     chopping
    -0.61
     holiest
    -0.61
    POSITIVE LOGITS
    Scient
    0.83
    vind
    0.80
    scientific
    0.76
    HCR
    0.75
     caution
    0.73
     findings
    0.72
     empirical
    0.72
     insight
    0.70
     qualitative
    0.70
    obin
    0.70
    Activations Density 0.456%

    No Known Activations