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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. 23546
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    INDEX
    Explanations

    quotes from individuals

    oai_token-act-pair · gpt-3.5-turbo

    phrases involving quotes or statements from various political figures

    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
    mination
    -0.72
    gencies
    -0.67
    ãĥİ
    -0.67
    berus
    -0.67
    ãĥĥãĥĪ
    -0.64
    ective
    -0.61
    paralle
    -0.61
    prints
    -0.60
    UTH
    -0.59
    Fit
    -0.59
    POSITIVE LOGITS
     sarcast
    1.28
     rhet
    1.09
     bluntly
    1.05
     referring
    0.93
     aloud
    0.87
     emphatically
    0.86
     omin
    0.85
     quoting
    0.83
     angrily
    0.81
     passionately
    0.79
    Activations Density 0.143%

    No Known Activations