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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. 9-RES-JB
    11. 5708
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    Explanations

    names of individuals with varied professions

    oai_token-act-pair · gpt-3.5-turbo

    names of people, organizations, or references to credits in a context related to newsworthy events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĢIJ
    -0.55
    ãĢİ
    -0.54
     (?,
    -0.52
     Reloaded
    -0.50
     repentance
    -0.49
    FTWARE
    -0.49
     Forever
    -0.48
     Refuge
    -0.48
    thood
    -0.47
     buggy
    -0.47
    POSITIVE LOGITS
    ulton
    0.75
    atz
    0.71
    photos
    0.70
     (@
    0.70
    wig
    0.69
     .)
    0.68
    utterstock
    0.67
    embed
    0.65
    ibrary
    0.63
     Photography
    0.63
    Activations Density 0.201%

    No Known Activations