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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. 11-RES-JB
    11. 14153
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    INDEX
    Explanations

    phrases related to preparation or taking preparatory steps

    oai_token-act-pair · gpt-3.5-turbo

    references to preparation or readiness in various contexts

    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
     Rampage
    -0.68
    hips
    -0.66
    âĸ¬
    -0.66
     independents
    -0.65
    âĸ¬âĸ¬
    -0.62
    ï¸ı
    -0.58
    gie
    -0.57
     Butterfly
    -0.56
    âĢ¢âĢ¢
    -0.56
     pip
    -0.55
    POSITIVE LOGITS
    onder
    1.38
    oster
    1.34
    ubes
    1.22
    aring
    1.10
    ublic
    1.07
    ared
    1.06
    regnancy
    1.03
    uberty
    0.96
    aired
    0.96
    otent
    0.92
    Activations Density 0.045%

    No Known Activations