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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. 11-RES-JB
    11. 14511
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    INDEX
    Explanations

    instances where something is being done or accomplished, usually in a positive or proactive light

    oai_token-act-pair · gpt-3.5-turbo

    phrases that contrast or provide exceptions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    apter
    -0.72
    irm
    -0.65
    dl
    -0.65
    ctuary
    -0.65
    ussed
    -0.61
    emn
    -0.60
    ctions
    -0.60
    Plex
    -0.60
    ct
    -0.60
    orc
    -0.59
    POSITIVE LOGITS
     also
    1.87
     ALSO
    1.54
    also
    1.49
     additionally
    1.17
     Also
    1.10
     moreover
    1.09
     likewise
    1.08
     furthermore
    1.04
     secondly
    1.02
    Secondly
    1.01
    Activations Density 0.173%

    No Known Activations