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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. 1-RES-JB
    6. 15370
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    Explanations

    sequences of numbers or alphanumeric characters

    oai_token-act-pair · gpt-3.5-turbo

    sequences of numerical or alphanumeric characters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ividual
    -0.57
    ãĥ¼ãĥĨãĤ£
    -0.55
    halla
    -0.54
    rupal
    -0.47
    geist
    -0.47
    elvet
    -0.46
    nesday
    -0.45
    ictionary
    -0.44
    ildo
    -0.44
    accompanied
    -0.44
    POSITIVE LOGITS
    NetMessage
    0.55
    76561
    0.43
    resp
    0.42
     np
    0.41
    rg
    0.40
    cknow
    0.40
     brill
    0.38
     DATA
    0.37
     Mages
    0.37
     pse
    0.36
    Activations Density 3.193%

    No Known Activations