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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. 1-RES-JB
    11. 7193
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    Explanations

    phrases related to a large group or quantity of people or things

    oai_token-act-pair · gpt-3.5-turbo

    references to large groups of people or entities, particularly in political or social contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    erick
    -0.86
    essler
    -0.78
    iary
    -0.70
    oser
    -0.68
    oses
    -0.67
    inator
    -0.64
    haust
    -0.64
    ressor
    -0.64
    oan
    -0.64
    olph
    -0.63
    POSITIVE LOGITS
     Kislyak
    1.18
    voy
    0.77
     Ves
    0.77
    balls
    0.70
     Ambro
    0.70
    cape
    0.65
    aclysm
    0.63
    ukemia
    0.63
     Blasio
    0.63
    aligned
    0.63
    Activations Density 0.030%

    No Known Activations