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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. 8-RES-JB
    11. 14396
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    prominent names, particularly related to specific individuals and entities in the document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     unpre
    -0.65
    ~~~~~~~~~~~~~~~~
    -0.63
    ching
    -0.62
    tered
    -0.62
    ··
    -0.60
     undes
    -0.59
    ts
    -0.59
    senal
    -0.58
     Reconstruction
    -0.57
    ~~~~~~~~
    -0.57
    POSITIVE LOGITS
    ards
    1.04
    arding
    1.00
    arded
    0.97
    ard
    0.94
    igan
    0.93
    ritten
    0.90
    eting
    0.89
    erd
    0.88
    atche
    0.87
    andowski
    0.85
    Activations Density 0.072%

    No Known Activations