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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. 7-RES-JB
    11. 21658
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    Explanations

    phrases related to consequences or conditions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating limitations or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Seym
    -0.56
    aires
    -0.55
    chuk
    -0.55
    Nation
    -0.54
    agra
    -0.54
    itaire
    -0.53
    eur
    -0.52
    luster
    -0.52
    FTWARE
    -0.51
    dollar
    -0.50
    POSITIVE LOGITS
    -)
    0.63
    *)
    0.62
    )?
    0.56
    soType
    0.56
    initialized
    0.53
    ?)
    0.52
     ):
    0.51
     Naruto
    0.51
    lihood
    0.50
     optionally
    0.50
    Activations Density 0.527%

    No Known Activations