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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. 2-RES-JB
    11. 731
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    Explanations

    the contraction "don't"

    oai_token-act-pair · gpt-4-turbo

    negative statements or limitations

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "don't" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dise
    -0.86
     afore
    -0.76
    EStream
    -0.74
     VERS
    -0.70
    cised
    -0.68
     DRAGON
    -0.67
     Agency
    -0.66
     Ivory
    -0.65
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.65
     Remastered
    -0.65
    POSITIVE LOGITS
    't
    1.51
    uts
    0.99
    nell
    0.96
    nie
    0.94
    atives
    0.91
    ates
    0.90
    ned
    0.88
    kie
    0.83
    ning
    0.83
    ct
    0.81
    Activations Density 0.056%

    No Known Activations