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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. 3868
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    INDEX
    Explanations

    phrases related to heavy physical or metaphorical burdens

    oai_token-act-pair · gpt-3.5-turbo

    references to "load" in various contexts

    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
    perty
    -0.73
    icho
    -0.68
    cko
    -0.66
    vous
    -0.66
    berra
    -0.65
    chedel
    -0.63
    KEN
    -0.63
    gary
    -0.62
    Ĭ±
    -0.62
    Downloadha
    -0.62
    POSITIVE LOGITS
     loads
    1.15
     load
    1.09
    loads
    1.03
    load
    0.96
     Load
    0.91
    bag
    0.90
    enger
    0.89
    bags
    0.86
    loading
    0.85
     shedding
    0.84
    Activations Density 0.009%

    No Known Activations