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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. 5031
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    Explanations

    quantities of tens or hundreds

    oai_token-act-pair · gpt-3.5-turbo

    references to large quantities or numbers, particularly relating to tens and hundreds

    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
     Mate
    -0.57
     Situation
    -0.57
    Maker
    -0.55
    agate
    -0.54
    arette
    -0.53
     Proposition
    -0.53
     captivity
    -0.53
     DG
    -0.52
     breakup
    -0.52
     Duty
    -0.52
    POSITIVE LOGITS
    ourcing
    1.12
    omet
    1.06
    uous
    0.98
    eteenth
    0.97
    paces
    0.97
    urous
    0.95
    entimes
    0.95
    uously
    0.93
    atile
    0.93
    ousands
    0.91
    Activations Density 0.036%

    No Known Activations