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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. 19950
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    INDEX
    Explanations

    phrases indicating a summary or conclusion

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating collective experiences or shared situations

    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
    ror
    -0.72
     anymore
    -0.71
     whisper
    -0.61
    lev
    -0.61
    gey
    -0.60
    opp
    -0.59
    ça
    -0.58
     panic
    -0.58
    ":""},{"
    -0.58
    drm
    -0.57
    POSITIVE LOGITS
     totals
    0.93
    Ĥª
    0.83
     totaling
    0.82
    ogether
    0.81
     total
    0.78
     comprise
    0.77
     amassed
    0.75
     suffice
    0.74
     tidy
    0.73
     roughly
    0.72
    Activations Density 0.571%

    No Known Activations