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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. 4-RES-JB
    11. 7231
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    INDEX
    Explanations

    mentions of heavy rain or flooding events

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "del" in various contexts

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

    No Comments

    Negative Logits
    SHIP
    -0.79
    picture
    -0.77
    OLOGY
    -0.73
     Moonlight
    -0.68
    rity
    -0.66
     Fields
    -0.66
    beans
    -0.65
    YA
    -0.65
    é¾įå¥ij士
    -0.65
    yip
    -0.65
    POSITIVE LOGITS
    uxe
    1.17
     Toro
    1.04
    ivery
    1.00
    ving
    0.99
    ayed
    0.93
    aware
    0.91
    usional
    0.90
    ivered
    0.90
    uded
    0.89
    phi
    0.87
    Activations Density 0.009%

    No Known Activations