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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. 8917
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    INDEX
    Explanations

    negations with a negative sentiment

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a diminishing quality or intensity

    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
    ãĥ¼ãĥĨãĤ£
    -0.79
    MAP
    -0.60
    osterone
    -0.57
     VID
    -0.56
    ertodd
    -0.56
     Ethics
    -0.55
     (>
    -0.55
    Already
    -0.54
    neum
    -0.54
    ãĥ¯ãĥ³
    -0.53
    POSITIVE LOGITS
     much
    1.07
    much
    0.84
     forgiving
    0.80
    vier
    0.80
     anymore
    0.77
    apy
    0.76
    bered
    0.75
    iling
    0.75
     glamorous
    0.74
     fortunate
    0.71
    Activations Density 0.047%

    No Known Activations