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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 20750
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    Explanations

    terms related to medical conditions and treatments, particularly those involving blood

    oai_token-act-pair · gpt-3.5-turbo

    references to blood and its related measurements

    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
    IX
    -0.81
     VIDEOS
    -0.74
    "]=>
    -0.73
     Amend
    -0.72
    USS
    -0.71
    ECH
    -0.71
    atern
    -0.71
    AMA
    -0.70
    UTC
    -0.69
    VICE
    -0.69
    POSITIVE LOGITS
    bath
    1.11
    thirst
    1.08
    hound
    1.00
    stained
    0.99
    blood
    0.93
    wine
    0.91
     blood
    0.88
    spl
    0.85
     vessels
    0.85
     veins
    0.84
    Activations Density 0.014%

    No Known Activations