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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 3000
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    INDEX
    Explanations

    phrases indicating a reason or purpose

    oai_token-act-pair · gpt-3.5-turbo

    the demonstrative pronouns "this" and "that."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ§
    -0.73
    mare
    -0.68
    cheat
    -0.67
    ved
    -0.64
    osterone
    -0.64
    glers
    -0.63
     Activate
    -0.62
    Cho
    -0.62
    rien
    -0.62
    mosp
    -0.62
    POSITIVE LOGITS
     sake
    1.88
     purposes
    1.59
     reasons
    1.18
     purpose
    1.15
    ummies
    1.09
     foreseeable
    0.91
     eternity
    0.88
     reason
    0.88
    umption
    0.84
     upcoming
    0.83
    Activations Density 0.234%

    No Known Activations