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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. 7-RES-JB
    11. 4123
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    Explanations

    verbs related to motivation and actions that drive individuals

    oai_token-act-pair · gpt-3.5-turbo

    terms related to motivation and what drives people to take action

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    esan
    -0.82
    maid
    -0.74
    rooms
    -0.73
    hold
    -0.72
    aird
    -0.70
    semble
    -0.68
     Leopard
    -0.68
     Canad
    -0.67
    iannopoulos
    -0.67
    erial
    -0.66
    POSITIVE LOGITS
    ivated
    0.99
     motivation
    0.95
    ivation
    0.89
     motivate
    0.83
     cooker
    0.80
     motivations
    0.78
     motivating
    0.76
     motivated
    0.75
     compel
    0.74
     compelled
    0.74
    Activations Density 0.035%

    No Known Activations