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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 24011
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    Explanations

    words related to motivation and drive

    oai_token-act-pair · gpt-3.5-turbo

    words related to motivation and enthusiasm

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     min
    -0.66
     haircut
    -0.65
     overt
    -0.63
     Jays
    -0.62
     apostles
    -0.61
     OT
    -0.61
     surgeries
    -0.60
     hairc
    -0.59
     mic
    -0.59
     beats
    -0.58
    POSITIVE LOGITS
    ivated
    4.51
    ivating
    4.07
    ivation
    3.69
    iv
    1.94
    ivities
    1.46
    iven
    1.43
    ivist
    1.41
    ivism
    1.35
    iva
    1.31
    ivia
    1.30
    Activations Density 0.011%

    No Known Activations