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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. 592
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    Explanations

    references to clothing items such as shorts and socks

    oai_token-act-pair · gpt-3.5-turbo

    the word 'shorts'

    oai_token-act-pair · gpt-4-turbo

    references to clothing items, particularly shorts and socks

    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
    rian
    -0.83
    女
    -0.73
    rians
    -0.72
    ————————————————
    -0.68
    Reviewed
    -0.67
    Veter
    -0.64
    Reviewer
    -0.64
    minist
    -0.63
     Alzheimer
    -0.62
    upon
    -0.62
    POSITIVE LOGITS
     shorts
    1.32
    hirt
    1.16
    leeve
    1.01
     trousers
    0.90
     pants
    0.87
    uits
    0.87
     sleeves
    0.85
    mens
    0.84
     underwear
    0.84
    ters
    0.83
    Activations Density 0.008%

    No Known Activations