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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. 1-RES-JB
    11. 1910
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    Explanations

    empty spaces or areas where information is missing

    oai_token-act-pair · gpt-3.5-turbo

    references to emptiness or absence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oral
    -0.81
    APS
    -0.76
    WAYS
    -0.73
    utra
    -0.72
    OR
    -0.70
    andals
    -0.69
    IVERS
    -0.69
     Mek
    -0.68
     Zam
    -0.67
    udic
    -0.66
    POSITIVE LOGITS
     blank
    1.21
     slate
    1.00
     Blank
    1.00
    blank
    0.96
    eting
    0.91
    ety
    0.87
    etry
    0.78
     stares
    0.78
     captcha
    0.75
     placeholder
    0.73
    Activations Density 0.003%

    No Known Activations