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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. 870
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    Explanations

    references to the Criterion Collection

    oai_token-act-pair · gpt-3.5-turbo

    references to the Criterion Collection and related critiques

    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
    velt
    -0.78
    loo
    -0.76
    orthy
    -0.72
    noon
    -0.70
    pora
    -0.66
    holders
    -0.64
    Leary
    -0.62
    ATTLE
    -0.62
    owship
    -0.61
    FORMATION
    -0.61
    POSITIVE LOGITS
    erion
    1.39
    ique
    1.28
    iques
    1.27
    icism
    1.23
    iqu
    1.15
    eria
    1.03
    ically
    1.00
    icals
    0.92
    osure
    0.92
    iants
    0.87
    Activations Density 0.023%

    No Known Activations