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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. 3-RES-JB
    11. 5515
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    Explanations

    acronyms related to technology or organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to specific acronyms or systems related to SA (possibly referring to a specific organization or concept)

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itarian
    -0.98
    naire
    -0.85
    ysis
    -0.83
    hower
    -0.83
    frames
    -0.79
    naires
    -0.74
    ships
    -0.72
    icles
    -0.71
    Tea
    -0.71
    shake
    -0.71
    POSITIVE LOGITS
    VE
    1.31
    FF
    0.98
    BC
    0.97
    BIL
    0.92
    URA
    0.91
    IL
    0.90
    SA
    0.89
    INS
    0.89
    VER
    0.88
    BA
    0.88
    Activations Density 0.004%

    No Known Activations