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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. 7191
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    INDEX
    Explanations

    numerical values that indicate a minimum threshold

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a minimum quantity or requirement

    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
    bj
    -0.84
    kefeller
    -0.75
    clerosis
    -0.68
    dal
    -0.67
    gars
    -0.65
    halla
    -0.65
    omm
    -0.64
    aila
    -0.63
    iton
    -0.62
    king
    -0.62
    POSITIVE LOGITS
     Polk
    0.82
     toler
    0.71
    IELD
    0.68
    uner
    0.67
    Station
    0.65
     squares
    0.63
     credible
    0.63
    hap
    0.63
    Merit
    0.60
     Rupert
    0.60
    Activations Density 0.026%

    No Known Activations