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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. 7-RES-JB
    11. 22889
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    Explanations

    references to discussions or topics of conversation

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "talk" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Scotia
    -0.68
    undai
    -0.68
    aples
    -0.67
    rette
    -0.66
     Soldier
    -0.66
     landfall
    -0.64
    uilt
    -0.64
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.64
    emale
    -0.63
    served
    -0.62
    POSITIVE LOGITS
    ership
    0.86
     about
    0.80
    radio
    0.77
    makers
    0.77
     Limbaugh
    0.75
    bag
    0.75
    ers
    0.74
    bots
    0.74
    osphere
    0.74
    axe
    0.73
    Activations Density 0.029%

    No Known Activations