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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. 10-RES-JB
    11. 7738
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    INDEX
    Explanations

    numerical quantities

    oai_token-act-pair · gpt-3.5-turbo

    questions and statements regarding quantity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    acus
    -0.98
    andise
    -0.81
    allery
    -0.79
    vertisement
    -0.79
    hern
    -0.77
    merce
    -0.77
    undle
    -0.76
    ¶æ
    -0.74
    StreamerBot
    -0.73
    Ļ½
    -0.73
    POSITIVE LOGITS
     times
    1.53
     iterations
    1.09
     calories
    1.07
     hours
    1.05
     pounds
    1.01
     days
    1.00
     copies
    0.99
     acres
    0.98
     servings
    0.98
     gallons
    0.97
    Activations Density 0.041%

    No Known Activations