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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. 8708
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    Explanations

    phrases related to customization and personalization

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to customization and fitting needs

    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
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    No Comments

    Negative Logits
    amar
    -0.71
    aping
    -0.71
    uns
    -0.68
    eware
    -0.65
    cknowled
    -0.64
    bery
    -0.64
     laure
    -0.62
    rogens
    -0.61
    cknow
    -0.61
     ado
    -0.60
    POSITIVE LOGITS
     needs
    1.25
     demands
    1.12
    needs
    1.12
     circumstances
    1.08
     Needs
    0.99
     tastes
    0.97
     situations
    0.96
     requirements
    0.96
     situation
    0.93
     realities
    0.93
    Activations Density 0.381%

    No Known Activations