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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. 10-RES-JB
    11. 7437
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    Explanations

    numerical figures or statistics

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate significant statistics or data points

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    farious
    -0.90
    ²¾
    -0.78
    nown
    -0.76
    ikers
    -0.76
    aundering
    -0.75
    omorphic
    -0.73
    natureconservancy
    -0.72
    illance
    -0.72
    NetMessage
    -0.70
    letters
    -0.70
    POSITIVE LOGITS
     translates
    1.52
     compares
    1.49
     figure
    1.26
     ratio
    1.21
     equals
    1.19
     includes
    1.18
     averages
    1.17
     represents
    1.15
     totals
    1.14
     excludes
    1.14
    Activations Density 0.108%

    No Known Activations