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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. 8-RES-JB
    11. 16837
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    INDEX
    Explanations

    proper nouns or phrases related to industry, business, and impact

    oai_token-act-pair · gpt-3.5-turbo

    mentions of significant or impactful subjects, particularly those associated with initial announcements or large-scale entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    İĭ
    -0.69
     Parables
    -0.64
    gently
    -0.64
     Elise
    -0.60
    ascript
    -0.60
    isode
    -0.60
     Assassins
    -0.59
    othal
    -0.57
    ruciating
    -0.57
     Digest
    -0.56
    POSITIVE LOGITS
     (>
    1.15
     conglomer
    0.83
     looms
    0.72
     chunk
    0.71
    emouth
    0.71
     multinational
    0.69
     bru
    0.69
     congr
    0.69
    ————
    0.66
    ortment
    0.65
    Activations Density 0.528%

    No Known Activations