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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. 10-RES-JB
    11. 4962
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    Explanations

    phrases related to demanding actions or calls for action

    oai_token-act-pair · gpt-3.5-turbo

    requests for apologies or inquiries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    casts
    -0.71
     ®
    -0.69
    pires
    -0.64
    tops
    -0.64
    rities
    -0.64
    efficients
    -0.63
     habits
    -0.63
    via
    -0.63
    ongs
    -0.63
    eeds
    -0.62
    POSITIVE LOGITS
     moratorium
    1.29
     halt
    1.29
     rethink
    1.27
     boycott
    1.23
     reconsider
    1.16
     rematch
    1.16
     reversal
    1.12
     clarification
    1.12
     apology
    1.10
     recount
    1.06
    Activations Density 0.178%

    No Known Activations