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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. 1-RES-JB
    11. 13467
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    Explanations

    instances of words related to blood vessels and medical conditions associated with them

    oai_token-act-pair · gpt-3.5-turbo

    terms related to veins and arteries in a medical context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    antz
    -0.63
    Ħ¢
    -0.62
    */(
    -0.62
    ordan
    -0.62
    %]
    -0.61
     binary
    -0.60
    DR
    -0.59
    MAT
    -0.58
    dp
    -0.58
    fixed
    -0.58
    POSITIVE LOGITS
     vein
    1.50
     veins
    1.09
    phrine
    0.87
    itial
    0.85
    ectomy
    0.81
     artery
    0.80
     arteries
    0.77
    ulously
    0.77
    marks
    0.75
    osure
    0.74
    Activations Density 0.009%

    No Known Activations