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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. 14257
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    Explanations

    phrases containing the word "Truly" used to emphasize a significant quality or characteristic

    oai_token-act-pair · gpt-3.5-turbo

    the word "truly" and its variations, indicating a focus on authenticity or emphasis

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    anwhile
    -0.78
     Procedure
    -0.74
     conting
    -0.74
     newsletters
    -0.69
     Cheong
    -0.67
     valves
    -0.66
     screenings
    -0.65
     Mubarak
    -0.65
     attendant
    -0.65
     tables
    -0.65
    POSITIVE LOGITS
     appreciated
    0.78
    initions
    0.73
     unlimited
    0.71
     altru
    0.70
    htaking
    0.65
    functional
    0.65
    olkien
    0.64
     exceptional
    0.64
     limitless
    0.64
    Interested
    0.63
    Activations Density 0.024%

    No Known Activations