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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. 21567
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    Explanations

    phrases related to detention or retaining something

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "trainer" in various 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
    azon
    -0.91
    âĶ
    -0.73
    reality
    -0.72
    okin
    -0.71
    oppable
    -0.68
    idad
    -0.67
    ilon
    -0.66
     prett
    -0.66
    usher
    -0.66
     Riy
    -0.66
    POSITIVE LOGITS
    ainer
    0.96
    WARE
    0.90
    eering
    0.83
    ware
    0.81
    eding
    0.79
    enne
    0.73
    DM
    0.72
    zzi
    0.72
     Cheong
    0.70
    conom
    0.70
    Activations Density 0.024%

    No Known Activations