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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. 4-RES-JB
    11. 1901
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    INDEX
    Explanations

    numerical quantities and measurements

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "one" and variations to emphasize singularity or individuality

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

    No Comments

    Negative Logits
    atican
    -0.75
    BuyableInstoreAndOnline
    -0.74
    CHAT
    -0.73
    cture
    -0.71
    ocene
    -0.67
    illet
    -0.64
    tle
    -0.62
    bugs
    -0.62
    TEXTURE
    -0.62
    Slot
    -0.62
    POSITIVE LOGITS
     alike
    1.13
     thereof
    0.96
     consequ
    0.95
     importantly
    0.91
     accompanying
    0.88
     subsequent
    0.85
     consequently
    0.84
     ensuing
    0.84
     respectively
    0.83
     companion
    0.75
    Activations Density 0.435%

    No Known Activations