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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. 5232
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    Explanations

    words related to people or entities, particularly names

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "it" with varying frequencies

    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
    KER
    -0.63
    HAM
    -0.63
    Operation
    -0.62
    ´
    -0.60
     Typh
    -0.59
    Closure
    -0.58
    Ļ½
    -0.58
     innoc
    -0.57
    SPONSORED
    -0.57
    ©¶æ¥µ
    -0.56
    POSITIVE LOGITS
    amins
    1.17
    uary
    1.14
    anium
    1.09
    chell
    1.02
    geist
    1.01
    chen
    0.94
    imer
    0.92
    onal
    0.91
    hered
    0.91
    unes
    0.89
    Activations Density 0.054%

    No Known Activations