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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. 8932
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    Explanations

    mentions of specific initiatives or projects within different contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to initiatives or proposals aimed at achieving specific goals

    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
    oil
    -0.88
    ãĥĥãĥī
    -0.76
    stroke
    -0.75
    cats
    -0.75
    parts
    -0.74
    bane
    -0.72
    riter
    -0.72
    oiler
    -0.71
    burn
    -0.71
    miah
    -0.70
    POSITIVE LOGITS
     undertaken
    0.98
     spearheaded
    0.84
    ually
    0.84
     aimed
    0.83
     aiming
    0.82
     initiative
    0.79
    eering
    0.79
    eers
    0.79
     endeavor
    0.79
    matic
    0.78
    Activations Density 0.042%

    No Known Activations