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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. 6-RES-JB
    6. 4804
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    Explanations

    locations where individuals are taken or transported to

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "where."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     striking
    -0.72
    ets
    -0.69
     nutshell
    -0.61
    ³³³³³³³³
    -0.61
     pace
    -0.58
     chronological
    -0.57
    cycle
    -0.56
    et
    -0.55
     squeeze
    -0.54
     variability
    -0.54
    POSITIVE LOGITS
    upon
    1.44
    abouts
    0.91
    fore
    0.86
    soever
    0.81
    abama
    0.79
    Īè
    0.76
     [|
    0.72
    arton
    0.70
    ngth
    0.69
    artment
    0.69
    Activations Density 0.054%

    No Known Activations