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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. 12316
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    Explanations

    specific quantities or amounts mentioned in text

    oai_token-act-pair · gpt-3.5-turbo

    phrases and concepts related to social issues and community gatherings

    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
    appropriately
    -0.47
    ãģ¾
    -0.46
    ä
    -0.44
    interstitial
    -0.42
    *.
    -0.41
    acea
    -0.40
    senal
    -0.39
    qqa
    -0.39
    idden
    -0.39
    $.
    -0.38
    POSITIVE LOGITS
     however
    0.64
     meanwhile
    0.51
     though
    0.50
     moreover
    0.43
     therefore
    0.43
     tho
    0.39
    ?)
    0.38
     Morty
    0.38
     also
    0.38
    .--
    0.38
    Activations Density 3.707%

    No Known Activations