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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. 3309
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    Explanations

    references to positive or negative reception and success

    oai_token-act-pair · gpt-3.5-turbo

    the presence of the word "bo" in various contexts

    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
     dedication
    -0.60
    ware
    -0.60
    CLASSIFIED
    -0.58
    theless
    -0.58
     Millennium
    -0.58
     à¨
    -0.56
    nexus
    -0.56
     neutrality
    -0.55
     Sons
    -0.55
     specificity
    -0.55
    POSITIVE LOGITS
    gey
    1.30
    oby
    1.25
    ogie
    1.19
    oms
    1.15
    quet
    1.05
    zos
    1.02
    omer
    1.01
    zo
    1.00
    ogi
    0.99
    ister
    0.99
    Activations Density 0.023%

    No Known Activations