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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. 3-RES-JB
    11. 5698
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    Explanations

    phrases or words related to hard work or difficult tasks

    oai_token-act-pair · gpt-3.5-turbo

    references to hard work or effort, particularly in the context of challenges or perseverance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tymology
    -0.67
    por
    -0.66
    asel
    -0.65
    uana
    -0.65
    vironment
    -0.64
     Legisl
    -0.63
     Oaks
    -0.60
     suing
    -0.60
    idas
    -0.60
     associ
    -0.60
    POSITIVE LOGITS
     grind
    1.06
     Grind
    1.06
    ingly
    1.05
    stone
    0.89
    sheet
    0.84
    aign
    0.83
    downs
    0.81
    stones
    0.79
     grinding
    0.78
    itud
    0.77
    Activations Density 0.011%

    No Known Activations