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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. 10-RES-JB
    11. 9273
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    Explanations

    terms related to machinery or technical processes that involve precision

    oai_token-act-pair · gpt-3.5-turbo

    references to machinery or mechanical concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    0000000000000000
    -0.70
    wcs
    -0.66
    keeper
    -0.65
    SHIP
    -0.63
     matter
    -0.61
    hips
    -0.61
    etheless
    -0.60
    wark
    -0.58
    Rush
    -0.58
     acid
    -0.57
    POSITIVE LOGITS
    inery
    1.43
    ineries
    1.26
    inations
    1.14
    ined
    0.98
    ining
    0.97
    insk
    0.96
    ismo
    0.94
    inas
    0.91
    ufact
    0.91
    itud
    0.90
    Activations Density 0.033%

    No Known Activations