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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 3069
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    Explanations

    text related to specific designations or classifications

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "designated" and its variations, indicating a focus on formal classifications or assignments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    restling
    -0.73
    src
    -0.71
    Ev
    -0.69
    ev
    -0.68
    lip
    -0.68
    puff
    -0.66
    sea
    -0.61
    abuse
    -0.60
    escape
    -0.60
    answer
    -0.59
    POSITIVE LOGITS
     designated
    3.52
     designate
    2.12
     designation
    1.63
     assigned
    1.56
     allotted
    1.48
     authorized
    1.44
     selected
    1.41
     labeled
    1.39
     specified
    1.39
     chosen
    1.39
    Activations Density 0.009%

    No Known Activations