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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. 1669
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    Explanations

    phrases related to large quantities, measurements, and values

    oai_token-act-pair · gpt-3.5-turbo

    the conjunction "and" in 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
    æµ
    -0.64
    ilaterally
    -0.62
    bub
    -0.62
    account
    -0.61
    edIn
    -0.61
    paren
    -0.58
    å£
    -0.57
    代
    -0.56
    ayson
    -0.56
     Seym
    -0.56
    POSITIVE LOGITS
    rogen
    0.68
    rogens
    0.62
     then
    0.58
     thence
    0.56
    zbollah
    0.55
    ro
    0.54
     Entered
    0.52
    RO
    0.51
    phis
    0.50
    romeda
    0.50
    Activations Density 0.089%

    No Known Activations