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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. 11465
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    INDEX
    Explanations

    common phrases or expressions frequently encountered in text

    oai_token-act-pair · gpt-3.5-turbo

    reflections on personal experiences and realizations

    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
    uries
    -0.73
     Replay
    -0.70
     fid
    -0.66
    akable
    -0.62
    quished
    -0.60
     aver
    -0.59
     ensures
    -0.58
    payers
    -0.57
     foregoing
    -0.55
    aughs
    -0.54
    POSITIVE LOGITS
     Lovecraft
    0.77
    Pattern
    0.68
     myster
    0.68
     Weird
    0.65
    LINE
    0.65
     conflic
    0.64
    PF
    0.63
    Wow
    0.63
     Reincarn
    0.62
    oi
    0.62
    Activations Density 1.020%

    No Known Activations