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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. 1-RES-JB
    11. 18825
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    Explanations

    phrases related to actions or activities, potentially with a focus on legal or formal processes

    oai_token-act-pair · gpt-3.5-turbo

    various forms of the verb "act" and its related derivatives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    emouth
    -0.85
    untu
    -0.75
    otomy
    -0.72
    rats
    -0.71
    tailed
    -0.70
     pip
    -0.69
    aido
    -0.67
     tolerated
    -0.67
     whisk
    -0.66
     brim
    -0.64
    POSITIVE LOGITS
    acted
    1.22
    acting
    1.06
    terday
    0.89
    externalActionCode
    0.88
    uality
    0.80
    ACT
    0.79
    uated
    0.78
    acts
    0.76
    女
    0.75
     Dickinson
    0.74
    Activations Density 0.014%

    No Known Activations