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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. 3-RES-JB
    11. 1936
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    INDEX
    Explanations

    mentions of secondary entities or attributes

    oai_token-act-pair · gpt-3.5-turbo

    references to secondary effects or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ebus
    -0.84
    LOS
    -0.79
    Roberts
    -0.76
    liness
    -0.76
    âĸĪâĸĪ
    -0.76
    uge
    -0.74
    pload
    -0.71
    hov
    -0.70
    atche
    -0.70
    âĸĪâĸĪâĸĪâĸĪ
    -0.70
    POSITIVE LOGITS
    secondary
    0.90
     secondary
    0.82
    aband
    0.78
    arily
    0.76
     school
    0.76
    anguage
    0.76
    ities
    0.72
     mater
    0.72
     estate
    0.70
     thereto
    0.70
    Activations Density 0.008%

    No Known Activations