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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 2854
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    Explanations

    the number 10 or variations of it in the text

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "ten"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     DRAG
    -0.72
     Indust
    -0.69
     jerk
    -0.63
    à¼
    -0.62
    Downloadha
    -0.62
     Bind
    -0.59
    hammad
    -0.58
    ****************
    -0.58
    ARDS
    -0.57
    igslist
    -0.57
    POSITIVE LOGITS
    aciously
    1.36
    acious
    1.29
    acity
    1.20
    uous
    1.17
    ured
    1.14
    fold
    1.07
    uously
    1.07
     thousand
    1.06
    eenth
    0.97
    ieth
    0.96
    Activations Density 0.027%

    No Known Activations