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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. 10-RES-JB
    11. 12540
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    Explanations

    descriptions of specific events or topics related to science, technology, and society

    oai_token-act-pair · gpt-3.5-turbo

    topics related to events, incidents, and societal issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ordinate
    -0.83
    endra
    -0.61
    orno
    -0.61
    ensor
    -0.58
    landers
    -0.57
    units
    -0.57
    udi
    -0.56
    chance
    -0.56
    ega
    -0.56
    rend
    -0.56
    POSITIVE LOGITS
    :[
    1.20
     CLICK
    1.12
    :-
    1.12
     illustrates
    1.01
    :"
    1.01
     reveals
    1.00
    :]
    0.99
     titled
    0.96
     below
    0.96
    https
    0.94
    Activations Density 0.598%

    No Known Activations