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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. 19753
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    Explanations

    words related to struggling or negative experiences

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to emotional states or conditions

    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
     Fields
    -0.64
    KING
    -0.62
    Moore
    -0.59
    Water
    -0.59
    Reloaded
    -0.59
    Textures
    -0.57
    Companies
    -0.56
    BSD
    -0.56
    GROUND
    -0.56
     decaying
    -0.54
    POSITIVE LOGITS
    itud
    0.91
    ande
    0.83
    itent
    0.83
    ibli
    0.79
    ó
    0.78
    osa
    0.76
    ét
    0.76
    én
    0.75
    ici
    0.75
    rique
    0.75
    Activations Density 0.178%

    No Known Activations