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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. 17095
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    Explanations

    numerical values indicating quantity

    oai_token-act-pair · gpt-3.5-turbo

    the special token indicating the end of a text segment

    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
    IAS
    -0.84
    anything
    -0.80
    ESE
    -0.73
    nothing
    -0.71
    doesn
    -0.70
    claimer
    -0.68
    ola
    -0.68
    ifice
    -0.68
     thence
    -0.67
    fan
    -0.67
    POSITIVE LOGITS
     hundred
    1.81
     thousand
    1.60
     dozen
    1.59
     months
    1.12
     weeks
    1.08
     times
    1.06
    teenth
    1.05
     occasions
    1.04
     iterations
    1.01
     aspects
    1.01
    Activations Density 0.048%

    No Known Activations