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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
    11. 12931
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    Explanations

    terms or phrases that are commonly used or known

    oai_token-act-pair · gpt-3.5-turbo

    words that indicate commonality or frequency in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ivas
    -0.64
    ector
    -0.64
    asing
    -0.63
     commitments
    -0.63
    off
    -0.62
    grid
    -0.61
    loads
    -0.60
    addin
    -0.58
    aja
    -0.58
    achment
    -0.58
    POSITIVE LOGITS
     commonly
    3.14
     frequently
    1.88
     common
    1.72
     widely
    1.69
     often
    1.68
     typically
    1.60
     prevalent
    1.55
    common
    1.51
     seldom
    1.48
    often
    1.47
    Activations Density 0.008%

    No Known Activations