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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. 10-RES-JB
    11. 23476
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    INDEX
    Explanations

    phrases related to actions that involve a deliberate change or improvement

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating construction or creation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.85
     briefly
    -0.77
    ĸļ
    -0.75
     newcomer
    -0.75
    sever
    -0.73
    described
    -0.71
     subsequently
    -0.70
    identified
    -0.70
    cerpt
    -0.69
    rompt
    -0.69
    POSITIVE LOGITS
     airplanes
    1.23
     cars
    1.21
     roads
    1.18
     jobs
    1.18
     houses
    1.13
     highways
    1.13
     factories
    1.09
     shit
    1.07
     stadiums
    1.04
     mortgages
    1.04
    Activations Density 0.674%

    No Known Activations