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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. 8990
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    INDEX
    Explanations

    various opportunities or potential outcomes

    oai_token-act-pair · gpt-3.5-turbo

    references to opportunities or potential options

    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
    ric
    -0.77
    roy
    -0.76
    ogie
    -0.74
    gar
    -0.72
    car
    -0.71
    brand
    -0.70
    die
    -0.69
    bane
    -0.69
    mpire
    -0.67
    otto
    -0.67
    POSITIVE LOGITS
    DragonMagazine
    1.02
     possibilities
    1.00
    hift
    0.85
     avenues
    0.84
    izons
    0.84
     options
    0.79
    ossibility
    0.78
    ensical
    0.77
    atility
    0.72
     feas
    0.70
    Activations Density 0.007%

    No Known Activations