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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. 2-RES-JB
    11. 23284
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    Explanations

    phrases prompting the user to input information or take action

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Enter" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    76561
    -0.73
    acca
    -0.72
     laundering
    -0.69
     backdrop
    -0.67
     coun
    -0.64
     merciless
    -0.63
    ector
    -0.63
    fml
    -0.62
     Archangel
    -0.62
    ucket
    -0.59
    POSITIVE LOGITS
    prises
    1.36
    prise
    1.34
    prising
    1.13
    tain
    1.13
    taining
    1.08
    tainment
    1.05
    TAIN
    0.95
    Enter
    0.83
    igible
    0.83
    ipher
    0.82
    Activations Density 0.012%

    No Known Activations