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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. 1-RES-JB
    11. 22651
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    INDEX
    Explanations

    adjectives indicating strength or intensity

    oai_token-act-pair · gpt-3.5-turbo

    the concept of strength or being strong in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     MIA
    -0.78
    mits
    -0.72
     externalToEVAOnly
    -0.71
     Hol
    -0.68
     Trials
    -0.67
     pandemonium
    -0.66
    RECT
    -0.65
    IENCE
    -0.64
     Kab
    -0.63
    opus
    -0.63
    POSITIVE LOGITS
    strong
    1.46
    est
    0.98
    itudinal
    0.89
    sheet
    0.86
    nesses
    0.86
    FontSize
    0.85
    enger
    0.83
    fast
    0.81
    emouth
    0.80
    GoldMagikarp
    0.79
    Activations Density 0.006%

    No Known Activations