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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. 4-RES-JB
    11. 4564
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    Explanations

    terms related to financial matters or government positions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the string "che" within various contexts

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

    No Comments

    Negative Logits
    INGTON
    -0.71
     Archdemon
    -0.71
    é¾
    -0.70
    DEF
    -0.69
     eleph
    -0.69
     advoc
    -0.68
    ãĥ¼ãĥĨãĤ£
    -0.67
    iating
    -0.67
     anomal
    -0.63
    DragonMagazine
    -0.62
    POSITIVE LOGITS
    apeake
    1.02
    fter
    1.02
    tto
    1.02
    tta
    0.99
    bones
    0.97
    lde
    0.95
    lla
    0.95
    ards
    0.95
    eta
    0.92
    chet
    0.92
    Activations Density 0.012%

    No Known Activations