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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. 10210
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    Explanations

    words related to likelihood or probability

    oai_token-act-pair · gpt-3.5-turbo

    references to probabilities or likelihood of events occurring

    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
    DATA
    -0.81
    Meta
    -0.78
    Series
    -0.74
    Cart
    -0.72
    atra
    -0.72
    cart
    -0.72
    Physical
    -0.71
    Bed
    -0.70
    MT
    -0.69
    ILE
    -0.69
    POSITIVE LOGITS
    llor
    1.01
     chances
    1.00
     odds
    0.81
    pring
    0.80
     prospects
    0.78
    hift
    0.75
     Rouhani
    0.75
    paren
    0.71
    bably
    0.69
    cffff
    0.69
    Activations Density 0.014%

    No Known Activations