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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. 2-RES-JB
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    Explanations

    numerical estimations

    oai_token-act-pair · gpt-3.5-turbo

    phrases involving estimates or approximations of quantities and values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    woods
    -0.79
    feeding
    -0.73
    wood
    -0.72
    nered
    -0.70
    taboola
    -0.70
    Interstitial
    -0.69
    spr
    -0.67
    nen
    -0.67
    nic
    -0.67
    washer
    -0.66
    POSITIVE LOGITS
     estimates
    0.94
     estimated
    0.91
    imate
    0.88
    imates
    0.80
    imated
    0.80
     estimate
    0.79
     elapsed
    0.77
    imating
    0.75
    ãĤº
    0.74
    »
    0.74
    Activations Density 0.015%

    No Known Activations