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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. 11-RES-JB
    11. 23884
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    Explanations

    decimal numbers, particularly in the context of sports statistics

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and period placements in numerical and statistical contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     democrat
    -0.73
     colourful
    -0.69
     advis
    -0.66
     wiser
    -0.66
     encl
    -0.64
     conducting
    -0.64
     colle
    -0.64
     unintended
    -0.63
     cens
    -0.63
     transact
    -0.63
    POSITIVE LOGITS
    0
    1.58
    5
    1.46
    8
    1.38
    9
    1.34
    7
    1.31
    6
    1.30
    4
    1.30
    3
    1.27
    2
    1.26
    1
    1.24
    Activations Density 0.039%

    No Known Activations