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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. 3-RES-JB
    11. 9324
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    Explanations

    the word "there" followed by some additional information or context

    oai_token-act-pair · gpt-3.5-turbo

    the recurring phrase "there is" or "there are."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     CJ
    -0.85
     ±
    -0.67
     pound
    -0.66
     Kobe
    -0.64
     actionGroup
    -0.61
     Slayer
    -0.60
     IPM
    -0.58
     PG
    -0.58
     Bath
    -0.57
     Seg
    -0.57
    POSITIVE LOGITS
    abouts
    1.40
    upon
    0.99
    ntil
    0.89
    ngth
    0.88
    fore
    0.82
    ilst
    0.80
    ometimes
    0.78
    leanor
    0.78
    etheless
    0.77
    olkien
    0.77
    Activations Density 0.142%

    No Known Activations