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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. 11-RES-JB
    6. 7298
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    INDEX
    Explanations

    words related to interactions and engagement with an audience

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating audience acceptance or engagement

    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
    WithNo
    -0.80
    ĨĴ
    -0.78
    ELD
    -0.70
    ãĥĺãĥ©
    -0.69
    ãĤ¬
    -0.67
    ãĥĩãĤ£
    -0.66
    ãĤ´
    -0.65
    itary
    -0.65
    ãĤ¦ãĤ¹
    -0.63
    ARB
    -0.62
    POSITIVE LOGITS
     approve
    1.25
     respond
    1.16
     react
    1.15
     disapprove
    1.13
     agree
    1.09
     reciproc
    1.09
     laugh
    1.07
     flock
    1.05
     notice
    1.04
     balk
    1.02
    Activations Density 0.393%

    No Known Activations