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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. 0-RES-JB
    6. 16034
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    Explanations

    words related to generalization or broad statements

    oai_token-act-pair · gpt-3.5-turbo

    words indicating generalization or vagueness in descriptions

    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
    quit
    -0.79
    rance
    -0.78
    chwitz
    -0.74
     Ranger
    -0.72
    ername
    -0.69
    sic
    -0.69
     chang
    -0.69
    gone
    -0.66
    DragonMagazine
    -0.65
    hitting
    -0.64
    POSITIVE LOGITS
     broadly
    2.74
     loosely
    2.40
     tightly
    2.31
     narrowly
    2.03
     evenly
    1.83
     thinly
    1.69
     neatly
    1.48
     closely
    1.44
     vaguely
    1.44
     densely
    1.42
    Activations Density 0.020%

    No Known Activations