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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. 3-RES-JB
    11. 3922
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    Explanations

    expressions or phrases emphasizing the intensity or quantity of something

    oai_token-act-pair · gpt-3.5-turbo

    the word "much" in various contexts

    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
    ĪĴ
    -0.89
    ħĭ
    -0.77
    ibrary
    -0.77
    İĭ
    -0.74
    EStreamFrame
    -0.72
    othy
    -0.71
    BIL
    -0.71
    ntil
    -0.70
    ĨĴ
    -0.70
    ulin
    -0.69
    POSITIVE LOGITS
    ortment
    0.68
    thing
    0.65
     dmg
    0.63
     luck
    0.63
     undone
    0.63
    theless
    0.62
     crap
    0.61
     haste
    0.60
     thing
    0.60
     alike
    0.60
    Activations Density 0.060%

    No Known Activations