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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. 6-RES-JB
    11. 15115
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    Explanations

    phrases related to economic activities

    oai_token-act-pair · gpt-3.5-turbo

    references to economic or industrial concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iple
    -0.70
    hift
    -0.67
    resa
    -0.67
    illin
    -0.65
    anchester
    -0.64
    iquette
    -0.62
    arent
    -0.61
     spoilers
    -0.60
    OUP
    -0.60
    itialized
    -0.59
    POSITIVE LOGITS
     respectively
    1.05
    ).[
    0.83
     thereafter
    0.81
    ".[
    0.80
    .).
    0.80
    }.
    0.76
    ."[
    0.76
     culminating
    0.76
    .''.
    0.74
    '.
    0.73
    Activations Density 1.555%

    No Known Activations