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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. 883
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    Explanations

    numbers related to dates or events

    oai_token-act-pair · gpt-3.5-turbo

    numerical identifiers or coded references, typically related to specific events or statistics

    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
     IPS
    -0.67
    hip
    -0.66
    chwitz
    -0.64
    yre
    -0.62
    esse
    -0.60
     agre
    -0.60
    vous
    -0.58
    imov
    -0.57
    ument
    -0.57
     Gree
    -0.56
    POSITIVE LOGITS
    Ô
    0.72
    اÙĦ
    0.68
     EntityItem
    0.60
    aq
    0.60
    ockets
    0.59
     BaseType
    0.59
    ¯¯¯¯¯¯¯¯
    0.57
    ielding
    0.57
    Known
    0.56
     Bleach
    0.56
    Activations Density 0.053%

    No Known Activations