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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. 18955
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    Explanations

    phrases that emphasize advice or directives

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "you" and various forms of addressing the reader

    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
    grave
    -0.75
    stadt
    -0.69
    votes
    -0.67
    wrapper
    -0.66
     Hyde
    -0.63
    esting
    -0.63
     Verge
    -0.63
    unic
    -0.62
    ima
    -0.62
    icum
    -0.62
    POSITIVE LOGITS
    're
    1.48
     guys
    1.37
    've
    1.21
     gotta
    1.20
    tub
    1.03
    'll
    1.03
     know
    0.98
     realise
    0.96
     realize
    0.95
     wanna
    0.90
    Activations Density 0.138%

    No Known Activations