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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. 10-RES-JB
    11. 10144
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    Explanations

    words related to the concept of difficulty or challenge

    oai_token-act-pair · gpt-3.5-turbo

    words related to impeding or obstruction

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Kro
    -0.70
     Ambro
    -0.62
     Gates
    -0.61
     themed
    -0.59
    banks
    -0.59
     NCT
    -0.58
    nesday
    -0.58
    bands
    -0.57
     Shuttle
    -0.57
    baum
    -0.56
    POSITIVE LOGITS
    inence
    0.95
    achment
    0.92
    orio
    0.86
    achable
    0.82
    etr
    0.81
    mental
    0.77
    ment
    0.76
    iency
    0.75
    ibles
    0.75
    ception
    0.74
    Activations Density 0.049%

    No Known Activations