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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. 6004
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    Explanations

    phrases related to analysis and evaluation in a scholarly context

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the value and significance of historical accounts

    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
    --+
    -0.78
    SourceFile
    -0.74
    ipment
    -0.72
    spawn
    -0.72
    MIN
    -0.71
    Chain
    -0.69
    LAN
    -0.68
    btn
    -0.68
    Boss
    -0.67
     Powered
    -0.66
    POSITIVE LOGITS
     historians
    1.54
     comparisons
    1.39
     histor
    1.36
     eluc
    1.35
     scholars
    1.34
     scholarly
    1.32
     discussion
    1.27
     readers
    1.23
     explanations
    1.23
     analyses
    1.21
    Activations Density 0.758%

    No Known Activations