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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. 5562
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    INDEX
    Explanations

    numbers accompanied by a hyphen

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical values or ratings

    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
     "$:/
    -0.71
     Bates
    -0.69
     desp
    -0.64
     Leone
    -0.63
     wedd
    -0.62
     fifty
    -0.62
     plagued
    -0.61
     Apache
    -0.61
     validation
    -0.60
     domin
    -0.60
    POSITIVE LOGITS
    minute
    1.12
    year
    1.10
    sided
    1.07
    point
    1.04
    pointers
    1.01
    Hour
    0.99
    pointer
    0.99
    degree
    0.98
    inch
    0.98
    digit
    0.97
    Activations Density 0.082%

    No Known Activations