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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. 4-RES-JB
    11. 11394
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    Explanations

    phrases related to the impact of various factors on different aspects of life or the environment

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating various impacts or effects

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

    No Comments

    Negative Logits
    SourceFile
    -0.95
    ©¶æ¥µ
    -0.88
    Plex
    -0.78
    BuyableInstoreAndOnline
    -0.78
    DragonMagazine
    -0.74
    rers
    -0.73
    olf
    -0.71
    WER
    -0.71
    Shield
    -0.71
    Apps
    -0.70
    POSITIVE LOGITS
    erous
    1.21
     behalf
    1.15
    shore
    0.88
     impact
    0.81
    roads
    0.79
     shore
    0.77
     landsl
    0.75
    emonic
    0.72
    etime
    0.72
     aggregate
    0.71
    Activations Density 0.076%

    No Known Activations