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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. 3-RES-JB
    11. 16753
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    INDEX
    Explanations

    mentions of words related to cleanliness or hygiene

    oai_token-act-pair · gpt-3.5-turbo

    words related to clarity and cleanliness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ducks
    -0.77
     Tul
    -0.69
     Krug
    -0.67
     Kings
    -0.67
     PBS
    -0.66
     Galaxy
    -0.65
     Paramount
    -0.65
    yrinth
    -0.65
     Shogun
    -0.64
     Physicians
    -0.64
    POSITIVE LOGITS
    arest
    1.10
    avage
    1.02
     cle
    0.94
    veland
    0.93
    combe
    0.90
    fruit
    0.82
    xp
    0.80
    asp
    0.79
    lean
    0.79
    ipe
    0.78
    Activations Density 0.004%

    No Known Activations