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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. 9867
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    Explanations

    phrases related to performance and achievement

    oai_token-act-pair · gpt-3.5-turbo

    descriptors and terms related to performance and achievements in sports or other competitive contexts

    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
     cens
    -0.76
     ®
    -0.75
     censor
    -0.72
     licenses
    -0.72
    Chair
    -0.71
     censorship
    -0.70
    endment
    -0.69
    zanne
    -0.69
     licences
    -0.68
     printers
    -0.67
    POSITIVE LOGITS
     offensively
    1.03
     defensively
    0.99
     teammate
    0.97
     postseason
    0.97
     goalt
    0.97
     rookie
    0.96
     athlet
    0.96
     scorer
    0.93
     teammates
    0.92
     athleticism
    0.92
    Activations Density 0.206%

    No Known Activations