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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. 5-RES-JB
    6. 21849
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    Explanations

    phrases related to completing tasks or processes, often related to work or productivity

    oai_token-act-pair · gpt-3.5-turbo

    instances of communication or calls in a social context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Zimbabwe
    -0.68
    ilial
    -0.64
    andestine
    -0.62
    anwhile
    -0.61
     mistrust
    -0.60
    asha
    -0.59
    seek
    -0.59
    overe
    -0.58
     hierarch
    -0.58
     hierarchy
    -0.57
    POSITIVE LOGITS
     mileage
    0.86
     traction
    0.82
     OH
    0.69
     Rid
    0.68
     bang
    0.68
     permission
    0.67
     closer
    0.65
    DERR
    0.64
    ãĥĸ
    0.62
    gran
    0.62
    Activations Density 0.393%

    No Known Activations