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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. 13541
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    INDEX
    Explanations

    mentions or instances related to software or product demonstrations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of demo or demonstration concepts

    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
    iness
    -0.97
    iest
    -0.96
    ier
    -0.87
    iers
    -0.86
    ily
    -0.83
    aldo
    -0.80
    ym
    -0.77
    pool
    -0.76
    adal
    -0.75
    ome
    -0.74
    POSITIVE LOGITS
     NCT
    0.76
    tions
    0.73
    mented
    0.70
    é¾
    0.68
    ensional
    0.66
    ctors
    0.66
    eering
    0.63
    entanyl
    0.63
     GEAR
    0.63
    tion
    0.63
    Activations Density 0.119%

    No Known Activations