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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. 11-RES-JB
    11. 5178
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    Explanations

    words related to highlighting or emphasizing something, especially with the term 'spot'

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     stride
    -0.70
    issance
    -0.69
    ÄŁ
    -0.68
     cogn
    -0.64
     pend
    -0.63
     Strait
    -0.61
    elvet
    -0.58
     Sophia
    -0.57
    yss
    -0.57
     adolesc
    -0.56
    POSITIVE LOGITS
    lights
    1.73
    ter
    1.28
    ty
    1.25
    ters
    1.21
    light
    1.21
    lighting
    1.17
    ting
    1.08
    tery
    1.05
    pots
    0.96
    ted
    0.91
    Activations Density 0.044%

    No Known Activations