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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. 10-RES-JB
    11. 1156
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    Explanations

    references to blogs

    oai_token-act-pair · gpt-3.5-turbo

    references to blogs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    displayText
    -0.69
    inho
    -0.67
     Scotia
    -0.66
     negotiators
    -0.66
     evils
    -0.64
     overpowered
    -0.64
     Fifa
    -0.64
     ILCS
    -0.63
     extinction
    -0.61
     Lauder
    -0.60
    POSITIVE LOGITS
    osphere
    1.46
    ging
    1.32
    post
    1.32
    gers
    1.32
    ged
    1.25
    spot
    1.24
    posts
    1.20
    ger
    1.16
     posts
    1.11
     post
    1.08
    Activations Density 0.025%

    No Known Activations