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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. 7-RES-JB
    11. 18035
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    Explanations

    phrases related to specific names, locations, and medical terminology

    oai_token-act-pair · gpt-3.5-turbo

    references to locations or organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Shogun
    -0.70
     Versus
    -0.64
     arms
    -0.58
    furt
    -0.57
     CITY
    -0.57
     thor
    -0.56
    rontal
    -0.53
     psi
    -0.52
    govtrack
    -0.51
    wagon
    -0.51
    POSITIVE LOGITS
    igans
    0.74
    sylv
    0.73
    ouf
    0.71
    phia
    0.64
    ollar
    0.62
    igraph
    0.61
    ér
    0.58
    uber
    0.58
    kie
    0.57
    peria
    0.57
    Activations Density 0.839%

    No Known Activations