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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 19402
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    INDEX
    Explanations

    words related to inclinations or inclining towards something

    oai_token-act-pair · gpt-3.5-turbo

    references to physical structures or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Kidd
    -0.70
    utral
    -0.70
     Paw
    -0.70
    Shock
    -0.65
     Turtle
    -0.63
     Pav
    -0.63
    BSD
    -0.63
     Vulcan
    -0.62
     Duffy
    -0.61
     Rampage
    -0.60
    POSITIVE LOGITS
    repre
    1.00
    rants
    0.87
    aining
    0.85
    inations
    0.81
    igious
    0.80
    igslist
    0.80
    inarily
    0.79
    rees
    0.79
    ensity
    0.79
    viron
    0.78
    Activations Density 0.023%

    No Known Activations