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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. 8608
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    Explanations

    phrases related to taking action or making decisions

    oai_token-act-pair · gpt-3.5-turbo

    references to actions or requests involving participation or contribution

    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
     tragically
    -0.71
    andowski
    -0.68
    printf
    -0.65
    izarre
    -0.61
    olver
    -0.60
    roman
    -0.58
    arily
    -0.58
    ilogy
    -0.57
    ranch
    -0.57
    iatric
    -0.56
    POSITIVE LOGITS
     Yourself
    1.27
     yourselves
    1.26
     yourself
    1.16
    !:
    0.93
     thou
    0.83
     Your
    0.83
     your
    0.82
     thy
    0.81
     YOUR
    0.80
     wisely
    0.79
    Activations Density 0.422%

    No Known Activations