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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. 7-RES-JB
    11. 23433
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    INDEX
    Explanations

    people's titles, especially in governmental positions

    oai_token-act-pair · gpt-3.5-turbo

    references to political institutions and figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     dotted
    -0.66
     dots
    -0.64
    plet
    -0.61
    fall
    -0.60
     destruct
    -0.60
     skirm
    -0.59
     jurors
    -0.58
     lanes
    -0.58
    fman
    -0.57
     discrepancy
    -0.56
    POSITIVE LOGITS
     Philippe
    0.89
     Riy
    0.89
     Boris
    0.85
     Nikki
    0.82
     Salman
    0.81
     Denis
    0.80
     Rupert
    0.79
     Ruth
    0.79
     Theresa
    0.77
     Leo
    0.77
    Activations Density 0.247%

    No Known Activations