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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. 8-RES-JB
    11. 12538
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    INDEX
    Explanations

    references to various professions and their related activities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to references and classifications in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    é¾įå¥ij士
    -0.73
    ĸļ
    -0.72
     Struggle
    -0.71
     Prosper
    -0.69
     Bravo
    -0.69
    uyomi
    -0.69
    REDACTED
    -0.68
     Preferred
    -0.68
     Stoke
    -0.68
     Akin
    -0.68
    POSITIVE LOGITS
    encers
    1.08
    ancers
    1.05
    ographs
    1.03
    iners
    1.02
    ancies
    1.02
    amping
    1.02
    encer
    1.01
    ators
    1.00
    otypes
    1.00
    ippers
    0.98
    Activations Density 0.302%

    No Known Activations