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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. 17361
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    INDEX
    Explanations

    phrases related to physical movement and overcoming obstacles

    oai_token-act-pair · gpt-3.5-turbo

    instances of work-related tasks and activities

    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
    bold
    -0.86
    urther
    -0.74
     Declaration
    -0.64
    arbon
    -0.64
    antically
    -0.63
    Evidence
    -0.63
    weak
    -0.63
    idav
    -0.63
     Ending
    -0.62
    acho
    -0.62
    POSITIVE LOGITS
     Occasionally
    1.46
     occasionally
    1.34
    sometimes
    1.28
     sometimes
    1.24
     usually
    1.22
    usually
    1.22
     routinely
    1.19
     seldom
    1.18
     Sometimes
    1.18
     regularly
    1.17
    Activations Density 1.147%

    No Known Activations