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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. 23243
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    INDEX
    Explanations

    financial figures and numerical ranges

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to financial figures and statistics

    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
     Cros
    -0.77
     Gor
    -0.73
     behav
    -0.71
     Rein
    -0.71
     Bram
    -0.70
     Bos
    -0.69
     Ach
    -0.69
     anat
    -0.68
     Ambro
    -0.67
     Laur
    -0.66
    POSITIVE LOGITS
    000
    1.90
    0000
    1.44
    00
    1.38
    001
    1.32
    0002
    1.32
    500
    1.25
    0010
    1.24
    0001
    1.23
    1000
    1.15
    002
    1.13
    Activations Density 0.057%

    No Known Activations