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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. 2898
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    INDEX
    Explanations

    contractions like "aren't" and "isn't"

    oai_token-act-pair · gpt-3.5-turbo

    negative contractions or expressions indicating denial or absence

    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
     RTX
    -0.67
    çļ
    -0.66
    psc
    -0.61
     Nanto
    -0.61
    sed
    -0.60
    ä¿
    -0.60
     Practices
    -0.60
    çIJ
    -0.59
    unders
    -0.59
    æ°
    -0.58
    POSITIVE LOGITS
     necessarily
    1.27
     exactly
    1.05
    withstanding
    1.03
     entirely
    0.91
     merely
    0.88
    icably
    0.81
    yet
    0.81
     overtly
    0.79
     explicitly
    0.78
    orious
    0.78
    Activations Density 0.280%

    No Known Activations