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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. 16589
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    Explanations

    phrases related to capturing attention or focus

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating focus or attention towards various subjects or issues

    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
    perture
    -0.77
    NetMessage
    -0.74
    Pixel
    -0.71
    Edge
    -0.70
    ctica
    -0.70
    ashtra
    -0.70
    ÅĤ
    -0.68
    é¾įåĸļ士
    -0.68
    fml
    -0.67
    clip
    -0.66
    POSITIVE LOGITS
     yours
    0.79
     sorts
    0.77
     those
    0.76
     oneself
    0.73
     ours
    0.71
     conscience
    0.69
     theirs
    0.67
     hers
    0.64
     course
    0.64
    itness
    0.63
    Activations Density 0.343%

    No Known Activations