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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. 1-RES-JB
    11. 13423
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    Explanations

    instances where the text mentions specific versions or models

    oai_token-act-pair · gpt-3.5-turbo

    repeated sequences of the token "XX" and variations of "xxx"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kson
    -0.84
    awaru
    -0.77
    aiman
    -0.76
    keepers
    -0.71
    Downloadha
    -0.71
    keeper
    -0.70
     association
    -0.70
     bund
    -0.69
    ushing
    -0.68
    sonian
    -0.68
    POSITIVE LOGITS
    XX
    1.29
    VII
    1.22
     XX
    1.18
    xx
    1.17
     XXX
    1.07
    xxx
    1.07
    III
    1.06
    II
    0.93
     XII
    0.92
    YY
    0.92
    Activations Density 0.011%

    No Known Activations