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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. 3337
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    INDEX
    Explanations

    the word "flagship" with a high degree of activation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to flagship products or offerings

    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
    uge
    -0.80
    aut
    -0.74
    umatic
    -0.74
    ohan
    -0.72
    ichen
    -0.71
    gans
    -0.70
    aping
    -0.70
    haps
    -0.70
    opes
    -0.69
    uncture
    -0.69
    POSITIVE LOGITS
     flagship
    1.09
    mast
    0.72
    wcs
    0.66
     BaseType
    0.66
    stones
    0.66
     predator
    0.64
     android
    0.64
     contender
    0.64
     glim
    0.63
     Yamato
    0.63
    Activations Density 0.007%

    No Known Activations