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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. 3095
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    INDEX
    Explanations

    phrases related to criticizing actions or statements

    oai_token-act-pair · gpt-3.5-turbo

    references to accountability or consequences associated with actions or behaviors

    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
    wolves
    -0.70
     sources
    -0.68
     alternatives
    -0.67
    FIELD
    -0.64
     fellows
    -0.62
    ods
    -0.61
    andals
    -0.61
    kees
    -0.60
    ergic
    -0.58
     Options
    -0.58
    POSITIVE LOGITS
     every
    1.91
    every
    1.84
    Every
    1.68
     Every
    1.67
     EVERY
    1.55
    each
    1.22
    Each
    1.18
     each
    1.17
     Each
    1.13
     everybody
    1.01
    Activations Density 0.275%

    No Known Activations