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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. 6-RES-JB
    11. 4165
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    Explanations

    names of individuals, possibly related to news or events

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     comprom
    -0.30
    ITNESS
    -0.29
     paraph
    -0.28
    mbuds
    -0.27
    ĺħ
    -0.27
     diseng
    -0.27
    ":""},{"
    -0.26
    irc
    -0.26
     Quarterly
    -0.25
    userc
    -0.25
    POSITIVE LOGITS
    risome
    0.36
    avanaugh
    0.30
     Playoffs
    0.30
    ieu
    0.30
    cest
    0.29
    inates
    0.28
    riott
    0.28
     Cities
    0.28
    ption
    0.27
    natureconservancy
    0.26
    Activations Density 3.037%

    No Known Activations