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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. 1-RES-JB
    11. 14451
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    Explanations

    words related to the concept of motive

    oai_token-act-pair · gpt-3.5-turbo

    references to motives behind actions or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ummer
    -0.84
    mark
    -0.82
    odd
    -0.73
     Parables
    -0.71
     Leopard
    -0.70
     Sach
    -0.69
    orns
    -0.67
    orned
    -0.66
    DERR
    -0.66
    ORN
    -0.65
    POSITIVE LOGITS
     motive
    1.36
     motives
    1.20
     motivations
    1.04
     motivation
    0.94
    mot
    0.94
    TextColor
    0.83
     guiActiveUn
    0.81
    ilitary
    0.81
     incent
    0.79
     intrins
    0.77
    Activations Density 0.006%

    No Known Activations