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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. 4-RES-JB
    11. 4369
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    Explanations

    phrases related to problem-solving or taking action on a specific issue

    oai_token-act-pair · gpt-3.5-turbo

    the term "address" and its variations in the context of discussing issues or problems

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

    No Comments

    Negative Logits
    ischer
    -0.74
    akin
    -0.71
     Bees
    -0.64
    bees
    -0.62
    thing
    -0.61
    rites
    -0.61
    conn
    -0.61
     Kirin
    -0.60
    umbers
    -0.60
    retty
    -0.60
    POSITIVE LOGITS
    xual
    0.88
    iencies
    0.78
     addressing
    0.71
    idon
    0.71
     address
    0.70
    velt
    0.70
    ysis
    0.67
    itational
    0.67
    izon
    0.66
    uran
    0.65
    Activations Density 0.019%

    No Known Activations