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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. 2314
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    INDEX
    Explanations

    mentions of initiatives or projects being undertaken

    oai_token-act-pair · gpt-3.5-turbo

    references to various initiatives

    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
    oil
    -0.92
    oiler
    -0.83
    bane
    -0.75
    ummies
    -0.74
    ãĥĥãĥī
    -0.73
    avid
    -0.68
    attering
    -0.66
    miah
    -0.64
    burn
    -0.64
    oak
    -0.64
    POSITIVE LOGITS
    eers
    0.96
     initiative
    0.91
    ually
    0.87
     effort
    0.80
     undertaken
    0.76
     initiatives
    0.76
    ctl
    0.73
     spearheaded
    0.73
     endeavor
    0.72
    matic
    0.69
    Activations Density 0.010%

    No Known Activations