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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. 6-RES-JB
    11. 7538
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    INDEX
    Explanations

    mentions of instructions or steps related to tasks or actions

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "how" and variations related to inquiries or explanations

    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
    nih
    -0.65
     liability
    -0.62
    oval
    -0.62
     Nasa
    -0.59
     Chapman
    -0.58
     Ll
    -0.56
     Lum
    -0.56
     Kod
    -0.56
     COP
    -0.56
     GP
    -0.55
    POSITIVE LOGITS
    inki
    0.90
    quartered
    0.79
    anders
    0.75
    fficient
    0.74
    isphere
    0.74
    sembly
    0.71
    anwhile
    0.68
    usra
    0.68
    classes
    0.65
    fits
    0.65
    Activations Density 0.071%

    No Known Activations