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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. 11-RES-JB
    11. 552
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    INDEX
    Explanations

    names of specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper names and surnames

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     deduction
    -0.63
    )=
    -0.62
     depreciation
    -0.61
    Assembly
    -0.61
     vision
    -0.59
     responsiveness
    -0.58
     literacy
    -0.58
     evasion
    -0.58
     dexterity
    -0.57
     reflections
    -0.57
    POSITIVE LOGITS
    vich
    1.09
    itsch
    1.04
    owicz
    1.04
     Jr
    1.04
    enegger
    1.00
    gaard
    0.99
    iewicz
    0.99
    chuk
    0.98
    ovich
    0.98
    anski
    0.98
    Activations Density 0.272%

    No Known Activations