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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. 4-RES-JB
    11. 4765
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    Explanations

    phrases related to a high quantity or amount

    oai_token-act-pair · gpt-3.5-turbo

    the expression "whole" in various contexts

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

    No Comments

    Negative Logits
    liest
    -0.83
     Machines
    -0.72
    anwhile
    -0.71
     filings
    -0.67
    abilities
    -0.67
     defects
    -0.66
    nings
    -0.65
     Kun
    -0.65
    ulations
    -0.64
     coefficients
    -0.64
    POSITIVE LOGITS
    heartedly
    1.16
    hearted
    1.00
    allo
    0.83
    oton
    0.80
    ciating
    0.79
    dozen
    0.77
     bunch
    0.77
    ozy
    0.74
     thing
    0.71
     lot
    0.68
    Activations Density 0.012%

    No Known Activations