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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. 0-RES-JB
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    Explanations

    the word 'otto'

    oai_token-act-pair · gpt-3.5-turbo

    the name "Cotto" and its variations in the context of a narrative

    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
    otte
    -1.00
     Lilith
    -0.65
     iodine
    -0.64
     CW
    -0.64
     mercury
    -0.62
     Nato
    -0.61
     TNT
    -0.60
    CT
    -0.59
     coal
    -0.58
     PCB
    -0.58
    POSITIVE LOGITS
    otto
    2.84
    enez
    2.69
    icer
    1.59
    inez
    1.23
    irez
    1.12
    iao
    1.11
     Meyer
    1.09
    keyes
    1.06
    ierrez
    0.99
    itter
    0.97
    Activations Density 0.034%

    No Known Activations