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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 19924
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    Explanations

    lists of actions or recommendations for readers

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating specific actions or activities that individuals can take regularly

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ilts
    -0.72
     Unic
    -0.67
     Blanc
    -0.66
    latest
    -0.65
     Alc
    -0.64
    oof
    -0.63
    cephal
    -0.62
    orf
    -0.61
    tymology
    -0.61
     Seb
    -0.60
    POSITIVE LOGITS
    bleacher
    0.80
    APD
    0.73
    IVE
    0.73
    åij
    0.71
    æŃ¦
    0.70
    å°Ĩ
    0.69
    天
    0.68
     willpower
    0.66
    ðŁij
    0.65
     karma
    0.63
    Activations Density 0.040%

    No Known Activations