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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. 8-RES-JB
    11. 8643
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    INDEX
    Explanations

    instances of the word "blind"

    oai_token-act-pair · gpt-3.5-turbo

    references to blindness or being blind

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xit
    -0.88
     Heights
    -0.73
    ICAN
    -0.73
     accur
    -0.70
    andum
    -0.69
     Occupations
    -0.68
     estab
    -0.65
    OPLE
    -0.65
    AIN
    -0.64
    akeru
    -0.63
    POSITIVE LOGITS
    fold
    1.44
    sight
    1.41
    sided
    1.40
    blind
    1.10
    ingly
    1.03
    eyed
    1.03
    side
    1.00
    legged
    0.96
    eye
    0.95
    sighted
    0.95
    Activations Density 0.031%

    No Known Activations