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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. 8-RES-JB
    11. 1337
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    Explanations

    phrases related to foundational elements

    oai_token-act-pair · gpt-3.5-turbo

    the word "which" and its context in various phrases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aiden
    -0.76
    swick
    -0.71
    DIT
    -0.70
     WATCHED
    -0.67
    marg
    -0.66
     ACPI
    -0.65
     Panda
    -0.65
    Charg
    -0.62
    unts
    -0.61
    fml
    -0.61
    POSITIVE LOGITS
    soever
    0.99
    izens
    0.77
    sein
    0.69
     judgments
    0.65
     they
    0.64
    xual
    0.63
    ordan
    0.62
     we
    0.61
    awaru
    0.61
    isson
    0.61
    Activations Density 0.031%

    No Known Activations