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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
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    Explanations

    terms related to requests or appeals for action

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "demands" in various contexts related to pressure or requests for action

    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
     Ion
    -0.68
     Bom
    -0.67
     Spit
    -0.66
    beit
    -0.65
    sight
    -0.65
     Mayo
    -0.62
     Atomic
    -0.62
    chance
    -0.60
     Blind
    -0.59
     Albert
    -0.59
    POSITIVE LOGITS
     demands
    1.26
     demanded
    1.07
     demanding
    0.91
     demand
    0.83
    FontSize
    0.81
    cale
    0.81
    orter
    0.80
    ylum
    0.78
    ngth
    0.77
     warrants
    0.74
    Activations Density 0.013%

    No Known Activations