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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. 8-RES-JB
    11. 3154
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    INDEX
    Explanations

    comparisons of quantity or degree

    oai_token-act-pair · gpt-3.5-turbo

    comparative phrases emphasizing quantity or comparison

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ilic
    -0.84
    DH
    -0.73
    ICAN
    -0.71
    adian
    -0.70
    ç·
    -0.70
    ranch
    -0.68
    ensis
    -0.68
    Express
    -0.67
    Interstitial
    -0.66
    ffen
    -0.65
    POSITIVE LOGITS
     doubling
    0.81
    whelming
    0.77
     half
    0.75
    atos
    0.74
    etheless
    0.73
     80
    0.72
     tripled
    0.70
     8000
    0.70
     doubled
    0.69
     anything
    0.68
    Activations Density 0.039%

    No Known Activations