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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. 9-RES-JB
    11. 18639
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    INDEX
    Explanations

    locations or landmarks

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names and places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    GROUP
    -0.75
     scratch
    -0.71
    âĶĢâĶĢâĶĢâĶĢ
    -0.69
     NETWORK
    -0.68
     millennials
    -0.66
     wardrobe
    -0.65
     Millenn
    -0.65
     academ
    -0.65
     millennial
    -0.65
     sibling
    -0.63
    POSITIVE LOGITS
    anus
    1.19
    bah
    1.11
    anski
    1.09
    arius
    1.09
    oba
    1.09
    alli
    1.08
    bol
    1.07
    tera
    1.07
    onga
    1.06
    ovo
    1.06
    Activations Density 0.491%

    No Known Activations