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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. 17449
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    Explanations

    proper nouns, likely related to locations or people

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "se" or variations of it throughout the document

    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
     hawk
    -0.75
     owl
    -0.73
     shorth
    -0.73
     hoops
    -0.71
     wildfire
    -0.68
     pitched
    -0.67
    è¦ļéĨĴ
    -0.66
     scheduling
    -0.66
     liking
    -0.65
     railing
    -0.64
    POSITIVE LOGITS
    eker
    1.18
    venth
    1.04
    eps
    1.01
    gments
    1.00
    vere
    0.99
    ems
    0.97
    ldom
    0.96
    emed
    0.94
    vier
    0.93
    xy
    0.92
    Activations Density 0.015%

    No Known Activations