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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. 4-RES-JB
    11. 9356
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    INDEX
    Explanations

    phrases indicating causality or consequences

    oai_token-act-pair · gpt-3.5-turbo

    the word "which" in various contexts

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

    No Comments

    Negative Logits
     Bed
    -0.69
    politics
    -0.67
    let
    -0.66
    Behind
    -0.66
     Bucc
    -0.62
     Baker
    -0.60
    ting
    -0.58
     Tracker
    -0.57
     VIDEOS
    -0.57
    floor
    -0.57
    POSITIVE LOGITS
    soever
    1.07
    xual
    0.87
     resulted
    0.86
     attracts
    0.84
     brings
    0.83
     comprises
    0.80
     connects
    0.79
     exposes
    0.78
     consists
    0.78
     contains
    0.78
    Activations Density 0.116%

    No Known Activations