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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. 8916
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    Explanations

    words related to criminal activities and legal proceedings

    oai_token-act-pair · gpt-3.5-turbo

    mentions of individuals involved in legal or 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
     Paran
    -0.76
     Mankind
    -0.71
     Bees
    -0.64
     Hacker
    -0.63
     Chimera
    -0.63
     Zot
    -0.62
    lihood
    -0.62
     Tsukuyomi
    -0.62
     Brill
    -0.62
     Chips
    -0.61
    POSITIVE LOGITS
    Streamer
    0.72
    hester
    0.63
    ilib
    0.63
    obby
    0.61
    udos
    0.61
    animous
    0.60
    hof
    0.59
    obl
    0.59
    ven
    0.59
    oglu
    0.59
    Activations Density 0.144%

    No Known Activations