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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. 2-RES-JB
    11. 23483
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    Explanations

    words related to excitement and attention

    oai_token-act-pair · gpt-3.5-turbo

    references to excitement or discussions generating interest

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ©¶æ
    -0.66
     tyrann
    -0.66
    tein
    -0.66
    Interstitial
    -0.64
     antit
    -0.64
     uncomp
    -0.61
     restitution
    -0.60
    ractions
    -0.60
     unfor
    -0.60
    gur
    -0.59
    POSITIVE LOGITS
     buzz
    1.26
    ards
    0.93
    saw
    0.92
    eworthy
    0.91
    naire
    0.90
     buzzing
    0.88
    arded
    0.88
    feed
    0.87
    waves
    0.82
    leans
    0.82
    Activations Density 0.006%

    No Known Activations