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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. 3-RES-JB
    11. 23962
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    Explanations

    words related to obstacles or challenges

    oai_token-act-pair · gpt-3.5-turbo

    references to bogs and related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     capsule
    -0.65
     projection
    -0.65
    idences
    -0.64
     Chronicle
    -0.63
     talent
    -0.63
    istor
    -0.63
     screening
    -0.62
    erve
    -0.62
    Soviet
    -0.62
    pelled
    -0.62
    POSITIVE LOGITS
    ged
    1.04
     bog
    0.97
    ging
    0.86
    glers
    0.84
    gers
    0.83
     Logged
    0.82
    asses
    0.78
    gart
    0.77
     Bou
    0.74
    ãĥĦ
    0.74
    Activations Density 0.014%

    No Known Activations