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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. 8-RES-JB
    11. 2287
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    Explanations

    phrases related to standing or standing up

    oai_token-act-pair · gpt-3.5-turbo

    references to "stand" or "stand-up" performances and related terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    actionDate
    -0.95
    EStreamFrame
    -0.80
    EStream
    -0.78
    REDACTED
    -0.78
    displayText
    -0.75
    tnc
    -0.72
    NetMessage
    -0.69
    cffff
    -0.69
    oleon
    -0.68
     Intake
    -0.66
    POSITIVE LOGITS
    still
    1.30
    bys
    1.15
    alone
    1.02
    ings
    0.99
    outs
    0.93
    pipe
    0.92
    ative
    0.88
    ups
    0.87
    witz
    0.87
    up
    0.86
    Activations Density 0.035%

    No Known Activations