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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. 10-RES-JB
    6. 4170
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    Explanations

    phrases related to movement, particularly focusing on living things or objects that are able to move

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ingen
    -0.67
    inges
    -0.66
    ihil
    -0.65
    bryce
    -0.65
    nect
    -0.65
    omial
    -0.64
    akening
    -0.64
    gins
    -0.63
    tek
    -0.63
    ingo
    -0.63
    POSITIVE LOGITS
     forward
    0.99
    peed
    0.91
     toward
    0.89
     towards
    0.86
    objects
    0.85
     cursor
    0.84
     swiftly
    0.83
     smoothly
    0.83
    abouts
    0.82
     sideways
    0.80
    Activations Density 0.066%

    No Known Activations