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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. 9-RES-JB
    11. 4758
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    INDEX
    Explanations

    quantities or amounts of something

    oai_token-act-pair · gpt-3.5-turbo

    the concept of sufficiency or adequacy

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cember
    -0.65
    Brow
    -0.63
    heid
    -0.62
    arts
    -0.60
    raid
    -0.59
     Quote
    -0.59
    uesday
    -0.59
    ModLoader
    -0.58
    iries
    -0.58
    bull
    -0.57
    POSITIVE LOGITS
     to
    0.88
     thereto
    0.72
     sidx
    0.66
     toget
    0.66
     firepower
    0.66
     leftover
    0.65
     signatures
    0.63
     enough
    0.63
     sqor
    0.62
     incentive
    0.60
    Activations Density 0.090%

    No Known Activations