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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. 5-RES-JB
    6. 15084
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    INDEX
    Explanations

    pronouns referring to individuals

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the presence and actions of specific subjects or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Skip
    -0.69
    Minor
    -0.69
    Times
    -0.65
     Gw
    -0.64
    OWER
    -0.62
    Ĥ¬
    -0.62
     Offense
    -0.62
    Sexual
    -0.62
    YP
    -0.61
    imum
    -0.61
    POSITIVE LOGITS
    'll
    1.08
     consequently
    1.06
     accordingly
    0.94
    're
    0.91
     certainly
    0.91
    've
    0.88
     therefore
    0.83
     thereafter
    0.82
     shouldn
    0.81
     afterward
    0.79
    Activations Density 0.292%

    No Known Activations