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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. 2-RES-JB
    11. 1940
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    Explanations

    specific words like "episodes," "points," "pages," "stories," or "reports" in a structured format

    oai_token-act-pair · gpt-3.5-turbo

    documents related to reports or analytical papers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     plates
    -0.66
     Talks
    -0.62
     roofs
    -0.62
     fluids
    -0.62
     vans
    -0.61
     Journals
    -0.60
     temples
    -0.59
     eggs
    -0.57
     dinners
    -0.57
     desks
    -0.57
    POSITIVE LOGITS
    ebin
    0.92
    antage
    0.82
    imaru
    0.77
    cture
    0.77
     abundantly
    0.72
    undrum
    0.71
    oir
    0.64
     Doodle
    0.64
    ilion
    0.64
    ppa
    0.63
    Activations Density 0.997%

    No Known Activations