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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. 6890
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    Explanations

    the word "Knowing" followed by a statement

    oai_token-act-pair · gpt-3.5-turbo

    the word "knowing" and its variations

    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
    interstitial
    -0.84
    psey
    -0.79
    ItemTracker
    -0.75
    clerosis
    -0.73
    ideshow
    -0.73
    phrine
    -0.72
    olid
    -0.70
    anmar
    -0.69
    otom
    -0.69
    area
    -0.66
    POSITIVE LOGITS
    ledged
    0.95
    ledge
    0.85
    NESS
    0.78
     knowing
    0.77
    lessly
    0.76
     how
    0.74
     Lauder
    0.73
    ness
    0.72
    lege
    0.71
    LESS
    0.71
    Activations Density 0.019%

    No Known Activations