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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. 18026
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    Explanations

    words related to specific names, places, and organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to places or geographical locations

    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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    No Comments

    Negative Logits
    lator
    -0.78
    sonian
    -0.70
    ollah
    -0.69
    oslav
    -0.68
    nings
    -0.68
    ebin
    -0.68
    kernel
    -0.66
    ipeg
    -0.65
    idious
    -0.65
    ĸļ
    -0.63
    POSITIVE LOGITS
    phia
    0.80
     Strawberry
    0.72
     Royale
    0.71
     Revis
    0.71
     Cay
    0.68
     Beach
    0.66
     Parish
    0.66
     Waters
    0.66
     Passage
    0.65
     Spa
    0.64
    Activations Density 0.332%

    No Known Activations