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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. 6079
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    Explanations

    words related to adaptability and change

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to adaptation and flexibility

    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
    clamation
    -0.73
    FORE
    -0.73
    DOWN
    -0.70
    holder
    -0.70
     Roads
    -0.69
    utters
    -0.69
    riage
    -0.68
    jas
    -0.67
    rollers
    -0.67
    Jr
    -0.65
    POSITIVE LOGITS
    ability
    0.95
    ively
    0.92
     adapted
    0.92
    ivated
    0.89
    adapt
    0.88
     Adapt
    0.87
     adapt
    0.83
     adapting
    0.81
     adaptation
    0.79
    ably
    0.79
    Activations Density 0.041%

    No Known Activations