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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. 3011
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    Explanations

    phrases related to analysis or examination

    oai_token-act-pair · gpt-3.5-turbo

    phrases that begin with "of" followed by various analyses or reviews

    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
    oult
    -0.70
    few
    -0.68
    thing
    -0.67
    twitch
    -0.66
    hement
    -0.63
    bender
    -0.62
     gasp
    -0.61
    rection
    -0.60
    little
    -0.60
    nder
    -0.60
    POSITIVE LOGITS
     sorts
    1.05
     how
    0.79
     what
    0.78
     course
    0.76
     the
    0.75
     existing
    0.75
     these
    0.72
     why
    0.70
     events
    0.67
     extant
    0.67
    Activations Density 0.193%

    No Known Activations