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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. 0-RES-JB
    11. 12597
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    Explanations

    details about scientific observations and analysis of data

    oai_token-act-pair · gpt-3.5-turbo

    references to scientific observations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    btn
    -0.70
    sha
    -0.68
    abi
    -0.68
    oup
    -0.66
    ump
    -0.66
    brand
    -0.64
    ammed
    -0.64
    cca
    -0.62
    Kick
    -0.62
    oca
    -0.61
    POSITIVE LOGITS
     observations
    3.60
     observation
    2.36
     Observ
    1.90
     observational
    1.75
     measurements
    1.72
     discoveries
    1.61
     observing
    1.60
     predictions
    1.59
     findings
    1.55
     obser
    1.54
    Activations Density 0.020%

    No Known Activations