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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. 10-RES-JB
    11. 21694
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    Explanations

    terms related to quantities or levels of something in a context

    oai_token-act-pair · gpt-3.5-turbo

    terms related to economic metrics and rates of change

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    interstitial
    -0.80
    çīĪ
    -0.74
     Gleaming
    -0.72
     apologies
    -0.64
    ãĥīãĥ©ãĤ´ãĥ³
    -0.62
     Wonderland
    -0.61
     beware
    -0.61
    ruary
    -0.58
    ĸļ
    -0.58
     apology
    -0.57
    POSITIVE LOGITS
     of
    1.01
     thereof
    0.84
     exponentially
    0.72
    osphere
    0.62
    of
    0.61
     allowable
    0.60
     ratio
    0.59
    ourge
    0.59
     dstg
    0.59
     rate
    0.59
    Activations Density 0.162%

    No Known Activations