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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. 19855
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    INDEX
    Explanations

    instances where specific keywords are mentioned multiple times

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns or specific brand names

    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
    assetsadobe
    -0.86
    ccording
    -0.68
     ende
    -0.63
    theless
    -0.62
    çĶ°
    -0.62
     "\
    -0.61
    éĹĺ
    -0.59
     Mb
    -0.59
    anwhile
    -0.59
     conclud
    -0.57
    POSITIVE LOGITS
    eware
    0.77
    oqu
    0.72
    acles
    0.71
    adata
    0.71
    ocom
    0.71
    elight
    0.68
    ax
    0.68
    olve
    0.67
    tex
    0.66
    nex
    0.66
    Activations Density 0.309%

    No Known Activations