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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. 9-RES-JB
    11. 22716
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    Explanations

    references to the country of Canada

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Ad" in various forms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zag
    -0.68
    bush
    -0.64
     Cheong
    -0.60
     Ruk
    -0.59
    udic
    -0.58
    core
    -0.56
     greeting
    -0.55
     reckoning
    -0.55
     initiation
    -0.53
     striving
    -0.53
    POSITIVE LOGITS
     safely
    0.76
     worms
    0.74
    ildo
    0.74
    adian
    0.73
     afford
    0.70
    rouse
    0.67
    cial
    0.66
    nels
    0.66
    taboola
    0.64
    é¾
    0.64
    Activations Density 0.095%

    No Known Activations