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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. 7-RES-JB
    11. 11737
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    Explanations

    keywords related to knowledge or education

    oai_token-act-pair · gpt-3.5-turbo

    references to knowledge and the concept of knowing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    interstitial
    -0.80
    ItemTracker
    -0.77
    erva
    -0.70
    */(
    -0.70
    ĸļ
    -0.70
    avored
    -0.69
    EStream
    -0.69
    adish
    -0.68
     voucher
    -0.67
    acco
    -0.63
    POSITIVE LOGITS
    lege
    1.34
    ledge
    1.20
    ledged
    1.17
    LED
    0.94
    ingly
    0.86
    ability
    0.85
    led
    0.82
    ling
    0.78
    icit
    0.76
    ably
    0.76
    Activations Density 0.048%

    No Known Activations