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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. 6-RES-JB
    11. 15127
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    Explanations

    phrases indicating the extent or degree of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating varying levels of degree or extent

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tty
    -0.79
    reth
    -0.75
    sbm
    -0.67
    «
    -0.66
    brook
    -0.66
    tin
    -0.66
     Shuttle
    -0.65
    RAW
    -0.64
    ashed
    -0.64
     Tray
    -0.64
    POSITIVE LOGITS
     extent
    0.74
     approximation
    0.72
    forth
    0.70
    UTERS
    0.67
    mma
    0.66
     restitution
    0.66
    olit
    0.65
    esm
    0.64
    tenance
    0.64
    ESA
    0.62
    Activations Density 0.026%

    No Known Activations