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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. 3-RES-JB
    11. 17818
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    Explanations

    positive adjectives like "neat" or "tidy."

    oai_token-act-pair · gpt-3.5-turbo

    the word "neat" and its variations, which indicate orderliness or tidiness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Downloadha
    -0.76
    7601
    -0.71
    ioxide
    -0.69
    mma
    -0.68
     orally
    -0.65
    çīĪ
    -0.64
    anwhile
    -0.64
    CVE
    -0.64
     Defenders
    -0.63
     authorized
    -0.63
    POSITIVE LOGITS
    nesses
    0.99
    ness
    0.98
     neat
    0.97
    liness
    0.84
     tid
    0.83
    icles
    0.83
    ety
    0.82
     tidy
    0.77
     little
    0.77
    stuff
    0.77
    Activations Density 0.009%

    No Known Activations