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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. 15762
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to congratulations and expressions of support

    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
     IMAGES
    -0.70
    istic
    -0.68
    pmwiki
    -0.68
     hazards
    -0.63
    istically
    -0.62
    ãĥīãĥ©ãĤ´ãĥ³
    -0.61
     hypers
    -0.61
    ical
    -0.60
    cies
    -0.60
     Helm
    -0.60
    POSITIVE LOGITS
    regation
    1.61
    rats
    1.48
    regate
    1.44
    reg
    1.29
    ression
    1.29
    rat
    1.21
    ressive
    1.21
    resso
    1.20
    ratulations
    1.14
    rador
    1.06
    Activations Density 0.052%

    No Known Activations