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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. 5432
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    Explanations

    phrases related to expressing personal opinions or thoughts

    oai_token-act-pair · gpt-3.5-turbo

    statements indicating personal opinions or thoughts

    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
    Submit
    -0.70
    foreseen
    -0.68
    adr
    -0.66
    eding
    -0.62
    zyk
    -0.62
    irement
    -0.61
    FIG
    -0.61
    clad
    -0.61
    utters
    -0.60
    yet
    -0.60
    POSITIVE LOGITS
     everybody
    0.88
     we
    0.87
     it
    0.86
     thats
    0.81
     anybody
    0.79
     everyone
    0.77
     there
    0.74
     Cantor
    0.71
     you
    0.70
     they
    0.70
    Activations Density 0.066%

    No Known Activations