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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. 4-RES-JB
    11. 12489
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    Explanations

    phrases related to making a living or financial independence

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to making a living and the word "certain."

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

    No Comments

    Negative Logits
    ults
    -0.83
    ulations
    -0.80
    eworks
    -0.79
    packages
    -0.79
    ULTS
    -0.78
    lees
    -0.76
    apons
    -0.74
    artments
    -0.74
    ooks
    -0.73
    rooms
    -0.73
    POSITIVE LOGITS
     approximation
    0.91
     amount
    0.88
     degree
    0.80
    ccording
    0.79
     dose
    0.78
     glance
    0.75
     handful
    0.75
     haircut
    0.73
     bit
    0.72
     breeze
    0.72
    Activations Density 0.385%

    No Known Activations