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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. 0-RES-JB
    11. 13910
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    INDEX
    Explanations

    the concept of hierarchy or ranking based on levels of achievement or quality

    oai_token-act-pair · gpt-3.5-turbo

    references to different levels or categories of status

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Investigations
    -0.69
    ahl
    -0.68
    baugh
    -0.67
    Published
    -0.66
     Phelps
    -0.66
     Activities
    -0.65
    gans
    -0.64
    exc
    -0.64
    ITNESS
    -0.63
     Helpful
    -0.62
    POSITIVE LOGITS
     tier
    3.76
     tiers
    3.03
     Tier
    2.76
    Tier
    2.61
    tier
    2.59
     veter
    1.13
     tert
    1.11
     category
    1.02
     layer
    1.00
     level
    0.99
    Activations Density 0.024%

    No Known Activations