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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. 1268
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    INDEX
    Explanations

    numerical patterns related to lists, rankings, or sequences

    oai_token-act-pair · gpt-3.5-turbo

    references to the number five in various contexts

    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
     Hort
    -0.71
    swick
    -0.66
    xual
    -0.63
    lycer
    -0.62
    worldly
    -0.59
    urger
    -0.59
    swer
    -0.58
    icol
    -0.57
    opter
    -0.55
    BUS
    -0.54
    POSITIVE LOGITS
    Thirty
    1.22
    th
    0.90
    678
    0.89
    0000
    0.87
    âĺħ
    0.84
    pb
    0.84
     ILCS
    0.77
    771
    0.76
    43
    0.75
    41
    0.75
    Activations Density 0.124%

    No Known Activations