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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. 5-RES-JB
    6. 12157
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    INDEX
    Explanations

    occurrences of the word "blind"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "blind" and concepts related to blindness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xit
    -1.00
     Occupations
    -0.76
    AIN
    -0.76
    OPLE
    -0.72
    ALLY
    -0.71
    ICAN
    -0.70
    CE
    -0.68
     accur
    -0.66
    igslist
    -0.65
    anto
    -0.63
    POSITIVE LOGITS
    sight
    1.26
    sided
    1.24
    fold
    1.23
    blind
    1.20
    ibility
    1.01
     blind
    0.97
    ingly
    0.95
    ison
    0.90
    poke
    0.90
    eyed
    0.90
    Activations Density 0.021%

    No Known Activations