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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. 9-RES-JB
    11. 1810
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    INDEX
    Explanations

    phrases related to preparing to leave or move from a place

    oai_token-act-pair · gpt-3.5-turbo

    actions and processes related to packing and moving

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    usive
    -0.77
    existent
    -0.77
    andestine
    -0.72
    illary
    -0.70
    umerable
    -0.70
    etheless
    -0.69
    nces
    -0.69
    æѦ
    -0.66
    uary
    -0.66
    ritic
    -0.65
    POSITIVE LOGITS
     proceed
    1.21
     commence
    1.13
     embark
    1.09
     begin
    1.08
     proceeded
    1.06
     start
    1.04
     headed
    1.02
     promptly
    1.01
     sailed
    0.99
     stroll
    0.98
    Activations Density 0.363%

    No Known Activations