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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. 6-RES-JB
    11. 663
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    INDEX
    Explanations

    references to various types of involvement, including personal and organizational

    oai_token-act-pair · gpt-3.5-turbo

    mentions of involvement in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    auld
    -0.76
    sell
    -0.72
    geons
    -0.71
    geon
    -0.69
    objects
    -0.67
    Float
    -0.65
    hest
    -0.62
    imb
    -0.61
    Lev
    -0.61
    \\\\\\\\
    -0.61
    POSITIVE LOGITS
    ateral
    0.94
    enza
    0.84
     involvement
    0.80
     role
    0.71
     activities
    0.68
     participation
    0.66
    orship
    0.64
     manual
    0.62
    rity
    0.62
    antes
    0.61
    Activations Density 0.040%

    No Known Activations