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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 14600
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    INDEX
    Explanations

    phrases that express hope or potential outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    adverbs related to expressing hope or expectation

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    prus
    -0.74
    utenberg
    -0.69
    arnaev
    -0.62
    inki
    -0.61
    rals
    -0.60
    cair
    -0.60
    erella
    -0.59
    krit
    -0.59
     Travels
    -0.59
    éĹĺ
    -0.59
    POSITIVE LOGITS
    ,
    0.81
    ,.
    0.80
    ,,
    0.75
     anyway
    0.72
     importantly
    0.71
     challeng
    0.70
    |
    0.69
    oret
    0.67
     anyways
    0.66
    *,
    0.66
    Activations Density 0.129%

    No Known Activations