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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. 10-RES-JB
    11. 11549
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    INDEX
    Explanations

    words related to making decisions or evaluating options

    oai_token-act-pair · gpt-3.5-turbo

    expressions of subjective opinion or preference

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ylum
    -0.70
    estern
    -0.69
    Synopsis
    -0.69
    iannopoulos
    -0.68
    Democratic
    -0.66
     ÂŃ
    -0.66
    -0.65
     whistleblower
    -0.64
    ön
    -0.63
    billion
    -0.63
    POSITIVE LOGITS
     thats
    1.15
     I
    0.99
     haha
    0.87
     anyways
    0.86
     it
    0.86
     alot
    0.85
     honestly
    0.83
     XD
    0.83
     ;)
    0.81
     doesnt
    0.80
    Activations Density 0.520%

    No Known Activations