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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. 8-RES-JB
    11. 8558
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    INDEX
    Explanations

    information indicating a requirement or necessity

    oai_token-act-pair · gpt-3.5-turbo

    appeals for requirements or necessities in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ń·
    -0.77
     Dism
    -0.67
    cow
    -0.63
     Democr
    -0.63
    ihu
    -0.61
    terness
    -0.61
    grim
    -0.60
    seek
    -0.60
    speak
    -0.60
    RL
    -0.59
    POSITIVE LOGITS
    lessly
    1.25
    n
    0.75
    nces
    0.73
     patience
    0.72
     to
    0.72
     permission
    0.72
    esome
    0.68
    othes
    0.67
     authorization
    0.66
     periodic
    0.66
    Activations Density 0.069%

    No Known Activations