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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. 11311
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    Explanations

    phrases starting with "note that"

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize the importance of noting specific information or details

    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
    aukee
    -0.68
    Guard
    -0.58
    iped
    -0.57
    cr
    -0.57
    ble
    -0.56
    lean
    -0.55
     ankles
    -0.55
    feet
    -0.55
    ãĥĺ
    -0.54
    Hal
    -0.53
    POSITIVE LOGITS
     although
    0.75
     we
    0.73
     there
    0.71
    Reviewer
    0.65
     THERE
    0.65
    occ
    0.63
    cher
    0.63
    olation
    0.62
     pesky
    0.62
     whenever
    0.62
    Activations Density 0.303%

    No Known Activations