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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. 11-RES-JB
    11. 23937
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    Explanations

    phrases related to limitations or constraints

    oai_token-act-pair · gpt-3.5-turbo

    terms related to measurements of time and quantifiable outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     alot
    -0.77
    ciating
    -0.71
    pecially
    -0.65
    multiple
    -0.64
    Firstly
    -0.64
    roximately
    -0.62
     extensively
    -0.62
     behalf
    -0.62
     EVERY
    -0.59
     entirety
    -0.59
    POSITIVE LOGITS
    etsk
    0.77
     now
    0.76
    now
    0.72
     alive
    0.72
     here
    0.71
     remaining
    0.71
     anymore
    0.67
     hereafter
    0.67
     elsewhere
    0.63
     surviving
    0.62
    Activations Density 0.708%

    No Known Activations