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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. 4-RES-JB
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    Explanations

    references to individuals with considerable experience or expertise in a particular field or domain

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "veteran" in various contexts

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

    No Comments

    Negative Logits
    laws
    -0.88
    matic
    -0.86
    apo
    -0.85
    efficients
    -0.85
    alter
    -0.82
    orie
    -0.80
    romeda
    -0.77
    yrinth
    -0.76
    ories
    -0.75
    anchester
    -0.74
    POSITIVE LOGITS
     veteran
    0.84
     Veteran
    0.77
    TAIN
    0.75
     veterans
    0.75
     homelessness
    0.68
     widow
    0.67
     adventurer
    0.67
    Veter
    0.66
     Veterans
    0.65
    ãĤĮ
    0.64
    Activations Density 0.012%

    No Known Activations