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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. 20610
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to a specific topic or subject matter

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ERROR
    -0.76
    ATES
    -0.68
    Ka
    -0.68
     fortune
    -0.65
    aukee
    -0.65
     Zimmer
    -0.64
    ereo
    -0.64
    Cop
    -0.64
    hetto
    -0.64
    IELD
    -0.64
    POSITIVE LOGITS
    ivity
    1.20
    matter
    1.15
    ivities
    1.11
    ively
    1.07
    ivist
    1.03
    itatively
    0.96
     matter
    0.93
    ivism
    0.92
    ion
    0.90
    userc
    0.89
    Activations Density 0.018%

    No Known Activations