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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. 24148
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    INDEX
    Explanations

    words indicating a progression towards an outcome, result, or decision

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a sequence of events or outcomes

    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
    igger
    -0.80
    ocene
    -0.78
     Yard
    -0.76
    igers
    -0.74
    adr
    -0.73
    utenberg
    -0.73
    raught
    -0.73
    rieve
    -0.72
    unity
    -0.72
    ir
    -0.69
    POSITIVE LOGITS
     thereafter
    0.93
     importantly
    0.87
     consequently
    0.85
     rely
    0.77
     succeeded
    0.77
     alike
    0.75
     replaced
    0.72
     proceeded
    0.72
     replaces
    0.72
     anticipate
    0.69
    Activations Density 0.161%

    No Known Activations