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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. 6-RES-JB
    11. 24441
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    Explanations

    phrases related to specific laws, programs, institutions, or technical subjects

    oai_token-act-pair · gpt-3.5-turbo

    specific nouns and terms related to organizations, systems, and programming

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    theless
    -0.74
    ãĥĦ
    -0.71
    inventoryQuantity
    -0.67
    assian
    -0.67
    hower
    -0.67
     Kessler
    -0.64
     Swordsman
    -0.60
     Celt
    -0.60
     WARN
    -0.58
    rogens
    -0.58
    POSITIVE LOGITS
    udeb
    0.72
    edIn
    0.71
    matically
    0.71
    itia
    0.71
    allah
    0.70
    deen
    0.66
    hett
    0.65
    tarians
    0.63
    ently
    0.63
    atism
    0.58
    Activations Density 0.422%

    No Known Activations