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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. 10-RES-JB
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    Explanations

    the number "two" or items that come in pairs

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "two" and related numerical expressions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atown
    -0.89
    displayText
    -0.84
    claimer
    -0.75
    imester
    -0.71
    hirt
    -0.71
    education
    -0.70
    jury
    -0.70
    asta
    -0.67
    charge
    -0.66
    urb
    -0.66
    POSITIVE LOGITS
     distinct
    1.24
     different
    1.20
     separate
    1.20
     pairs
    1.12
     consecutive
    1.10
     simultaneous
    1.09
     halves
    1.08
     identical
    1.08
     disparate
    1.08
     successive
    1.07
    Activations Density 0.184%

    No Known Activations