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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. 7748
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "X" related to various contexts and applications

    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
    getic
    -0.83
    kson
    -0.77
    ufact
    -0.71
     captcha
    -0.69
    enegger
    -0.67
    ¢
    -0.67
    Äĩ
    -0.67
    perature
    -0.66
    cffff
    -0.66
     CHO
    -0.65
    POSITIVE LOGITS
    peria
    1.27
    avier
    1.25
    cellence
    1.13
    aminer
    1.01
    posed
    0.98
    BOX
    0.95
    odus
    0.95
    III
    0.95
    posure
    0.94
    ML
    0.91
    Activations Density 0.025%

    No Known Activations