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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. 10950
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    Explanations

    words ending in '-ible' or '-ables'

    oai_token-act-pair · gpt-3.5-turbo

    references to accessibility

    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
    erva
    -0.89
    sterdam
    -0.81
    auri
    -0.80
    itia
    -0.76
    ËĪ
    -0.75
    orius
    -0.75
    quez
    -0.73
    alyst
    -0.73
    ugal
    -0.72
    ority
    -0.71
    POSITIVE LOGITS
    ibility
    0.78
    ible
    0.76
    itable
    0.70
    IBLE
    0.69
     Mae
    0.67
    itably
    0.67
    BLE
    0.66
    ibles
    0.66
    ibly
    0.66
     CODE
    0.64
    Activations Density 0.024%

    No Known Activations