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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 23943
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    INDEX
    Explanations

    phrases indicating attribution or assigning responsibility

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate causation or blame

    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
    Dur
    -0.82
    esson
    -0.67
     doesnt
    -0.62
     Advertisement
    -0.61
    ById
    -0.60
     Means
    -0.60
     nets
    -0.59
     didnt
    -0.58
     belts
    -0.57
    SourceFile
    -0.57
    POSITIVE LOGITS
     blame
    1.55
    asted
    1.43
    asting
    1.34
    ying
    1.27
    wered
    1.25
    lled
    1.24
    iling
    1.16
    pless
    1.13
    gg
    1.13
    iled
    1.10
    Activations Density 0.081%

    No Known Activations