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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. 9-RES-JB
    11. 5960
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    Explanations

    words related to law enforcement actions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "ff"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ciating
    -0.71
    CHO
    -0.68
    ãĥīãĥ©ãĤ´ãĥ³
    -0.63
    ATING
    -0.59
    ATIVE
    -0.59
    xon
    -0.58
     Wat
    -0.58
     Primordial
    -0.58
    AAF
    -0.57
     mater
    -0.56
    POSITIVE LOGITS
    erent
    1.14
    mpeg
    1.12
    ords
    1.09
    ees
    1.08
    shire
    1.01
    rey
    0.99
    irms
    0.98
    icient
    0.97
    enegger
    0.97
    iculty
    0.96
    Activations Density 0.040%

    No Known Activations