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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. 3-RES-JB
    11. 12975
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.76
    ©¶æ
    -0.75
    DIR
    -0.73
    ãĥīãĥ©ãĤ´ãĥ³
    -0.71
     Archdemon
    -0.68
    URA
    -0.67
     PROG
    -0.66
     grapple
    -0.64
     Rampage
    -0.62
     partName
    -0.62
    POSITIVE LOGITS
    acket
    0.90
    itte
    0.87
    hemy
    0.80
    aila
    0.80
    cker
    0.78
    veland
    0.75
    acus
    0.72
    utz
    0.72
    onte
    0.71
    heit
    0.70
    Activations Density 0.098%

    No Known Activations