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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 9838
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     unfocusedRange
    -0.65
     anytime
    -0.64
    ģ
    -0.63
    ĪĴ
    -0.62
     decreasing
    -0.60
    namese
    -0.58
     cumulative
    -0.58
     Continuing
    -0.57
     idle
    -0.56
    ouple
    -0.55
    POSITIVE LOGITS
     originally
    0.78
     himself
    0.78
    otype
    0.71
     Himself
    0.68
    %]
    0.65
     herself
    0.64
    liest
    0.63
     initially
    0.63
    otypes
    0.63
    çīĪ
    0.62
    Activations Density 0.447%

    No Known Activations