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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 11256
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    Explanations

    information related to computer programming and technology, specifically focusing on instances, variables, and updates

    oai_token-act-pair · gpt-3.5-turbo

    references to instances and conditions in various contexts

    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
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    Negative Logits
    ruary
    -0.81
    tein
    -0.64
    velt
    -0.62
    heit
    -0.61
    enegger
    -0.60
     CTR
    -0.60
    ktop
    -0.60
    enhagen
    -0.58
    Ô
    -0.56
    hirt
    -0.55
    POSITIVE LOGITS
     guiActiveUnfocused
    0.70
    ciating
    0.58
    BIL
    0.57
     Photography
    0.57
    vp
    0.56
    ICAN
    0.56
    weapons
    0.55
    olina
    0.54
    aviour
    0.51
     likeness
    0.50
    Activations Density 0.954%

    No Known Activations