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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
    11. 3975
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    INDEX
    Explanations

    mentions of the name "iam" followed by a number representing the strength of the activation

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Liam."

    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
    NetMessage
    -0.88
     hairs
    -0.68
     stitch
    -0.64
     shortest
    -0.61
     dressing
    -0.61
     Leth
    -0.61
     irrigation
    -0.60
     irrig
    -0.60
     stocking
    -0.59
     checkout
    -0.59
    POSITIVE LOGITS
    atsu
    0.90
    pson
    0.89
    ento
    0.89
    gdala
    0.86
    ption
    0.86
    ati
    0.86
    orph
    0.85
    acy
    0.84
    pered
    0.83
    obile
    0.82
    Activations Density 0.011%

    No Known Activations