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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. 11-RES-JB
    11. 507
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    Explanations

    mentions of technology-related terms, especially referring to processors, computers, and related products

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the brand 'Exynos'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    brush
    -0.64
     caution
    -0.61
     penetrating
    -0.57
    reaching
    -0.56
    ISON
    -0.55
     Freedom
    -0.55
    ========
    -0.55
    ============
    -0.55
     apr
    -0.55
    pler
    -0.54
    POSITIVE LOGITS
    aptic
    1.17
    osure
    1.05
    thia
    0.97
    omial
    0.97
    emouth
    0.91
    agogue
    0.89
    astic
    0.86
    omore
    0.85
    nen
    0.85
    pher
    0.84
    Activations Density 0.054%

    No Known Activations