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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. 9-RES-JB
    11. 22691
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    Explanations

    phrases related to copying and pasting information, specifically in the context of sharing content and modifying existing text

    oai_token-act-pair · gpt-3.5-turbo

    the conjunction "and" along with related phrases emphasizing connectivity and continuation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    schild
    -0.81
    enegger
    -0.80
    FML
    -0.70
    iltr
    -0.69
     Akin
    -0.67
    cliffe
    -0.66
    blance
    -0.64
    heit
    -0.64
     fare
    -0.61
    REL
    -0.61
    POSITIVE LOGITS
     Pear
    0.74
     Rails
    0.70
    auga
    0.69
    ciating
    0.69
    ray
    0.65
    circ
    0.64
    ographer
    0.64
     Archdemon
    0.63
    opter
    0.62
     Marble
    0.61
    Activations Density 0.282%

    No Known Activations