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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. 3123
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    INDEX
    Explanations

    references to physical structures or locations, particularly compounds or buildings

    oai_token-act-pair · gpt-3.5-turbo

    references to chemical compounds

    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
    ker
    -0.73
    hips
    -0.72
    hl
    -0.70
    kers
    -0.68
    ever
    -0.66
    abet
    -0.65
    姫
    -0.65
    inner
    -0.64
    */(
    -0.64
    sonian
    -0.63
    POSITIVE LOGITS
     compound
    0.97
     annex
    0.80
     compounds
    0.78
    aughs
    0.73
    ModLoader
    0.70
    rador
    0.69
    endish
    0.69
    ilated
    0.66
    notes
    0.65
    iliar
    0.64
    Activations Density 0.005%

    No Known Activations