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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. 5648
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    INDEX
    Explanations

    adverbs indicating degree or intensity, such as "awfully," "highly," "incredibly," and "pretty."

    oai_token-act-pair · gpt-3.5-turbo

    descriptors of performance or quality

    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
    ãĥĺãĥ©
    -0.66
    inki
    -0.66
    ancers
    -0.66
    andise
    -0.62
     Unsure
    -0.62
    Alternative
    -0.62
    Kids
    -0.60
     Abstract
    -0.60
    ãĥ¯ãĥ³
    -0.60
    éĹĺ
    -0.59
    POSITIVE LOGITS
     lately
    1.23
     since
    1.13
     fruitful
    0.96
    since
    0.93
     successful
    0.83
     steady
    0.83
     unsuccessful
    0.82
     steadily
    0.82
     boon
    0.77
     consistent
    0.77
    Activations Density 0.196%

    No Known Activations