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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. 21261
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    Explanations

    phrases or acronyms related to a specific publication or organization

    oai_token-act-pair · gpt-3.5-turbo

    references to "THR" as well as names associated with various individuals and events

    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
    etsk
    -0.77
     mesh
    -0.76
    oxide
    -0.71
    oco
    -0.69
     oxide
    -0.66
     Nug
    -0.66
     meshes
    -0.66
     Jarrett
    -0.66
     Angelo
    -0.65
    formance
    -0.65
    POSITIVE LOGITS
    oning
    0.88
    VERTISEMENT
    0.83
    ivals
    0.82
    oned
    0.81
    ONES
    0.79
    ItemThumbnailImage
    0.76
    ģ
    0.71
    ItemImage
    0.71
    HAHA
    0.70
    HAHAHAHA
    0.68
    Activations Density 0.026%

    No Known Activations