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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 7455
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    Explanations

    imperative verbs instructing action

    oai_token-act-pair · gpt-3.5-turbo

    imperative verbs that suggest action or requests

    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
    DERR
    -0.68
    emale
    -0.60
    SUP
    -0.59
    CHR
    -0.57
    ropolis
    -0.56
     polic
    -0.56
    prototype
    -0.55
    .","
    -0.54
    "},"
    -0.54
    irst
    -0.53
    POSITIVE LOGITS
     yourselves
    0.95
     aside
    0.79
     yourself
    0.75
    quote
    0.74
    mittedly
    0.70
    fax
    0.69
     kidding
    0.68
    ichever
    0.68
    ably
    0.67
    esides
    0.67
    Activations Density 0.221%

    No Known Activations