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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. 10-RES-JB
    11. 829
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    INDEX
    Explanations

    words related to thorough checking and assessment, such as screening, inspection, and vetting

    oai_token-act-pair · gpt-3.5-turbo

    terms related to security and evaluation processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Torrent
    -0.70
    iev
    -0.68
     laure
    -0.65
    pub
    -0.65
    Church
    -0.64
    jac
    -0.64
    nect
    -0.64
    joining
    -0.62
    =]
    -0.62
    theless
    -0.61
    POSITIVE LOGITS
     screenings
    1.06
     screening
    1.01
    udo
    0.99
     procedures
    0.90
    ysis
    0.90
     conducted
    0.89
     suspicion
    0.86
     scrutiny
    0.85
     examinations
    0.82
     procedure
    0.82
    Activations Density 0.084%

    No Known Activations