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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. 6005
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    Explanations

    phrases indicating addition or emphasis

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "not to mention"

    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
    oward
    -0.75
    iche
    -0.73
    empl
    -0.71
    odes
    -0.69
    idden
    -0.68
    gur
    -0.68
    aim
    -0.67
    emale
    -0.66
    Released
    -0.66
    isode
    -0.66
    POSITIVE LOGITS
     there
    0.83
     THEY
    0.82
     THERE
    0.78
     plenty
    0.73
     fingerprints
    0.70
     they
    0.70
     lots
    0.69
     occasional
    0.68
     secondly
    0.66
     pesky
    0.65
    Activations Density 0.173%

    No Known Activations