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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. 2-RES-JB
    11. 14926
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    Explanations

    direct and straightforward language

    oai_token-act-pair · gpt-3.5-turbo

    words conveying directness and frankness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Haunted
    -0.85
     Occupations
    -0.76
     Suc
    -0.74
    Mich
    -0.73
    Cour
    -0.72
    phis
    -0.72
    ĨĴ
    -0.72
    ————————
    -0.71
    Lv
    -0.70
    Sync
    -0.69
    POSITIVE LOGITS
     blunt
    1.24
    odox
    0.89
     arrow
    0.81
     nodd
    0.78
     skew
    0.77
     frank
    0.76
     instrument
    0.76
     parting
    0.75
     revers
    0.75
     disse
    0.72
    Activations Density 0.007%

    No Known Activations