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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. 0-RES-JB
    11. 12512
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    INDEX
    Explanations

    phrases related to sports or physical activities

    oai_token-act-pair · gpt-3.5-turbo

    references to sporting events and activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Decay
    -0.72
    mary
    -0.72
    anon
    -0.71
    rez
    -0.70
    invoke
    -0.68
    docs
    -0.68
    arten
    -0.66
    mins
    -0.64
    Submit
    -0.64
     Uriel
    -0.62
    POSITIVE LOGITS
     sporting
    3.88
     sport
    2.03
     sports
    1.94
     Sporting
    1.80
     athletic
    1.62
    sports
    1.45
     athletics
    1.43
     Sport
    1.39
    Sports
    1.38
    Sport
    1.26
    Activations Density 0.011%

    No Known Activations