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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. 23969
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    Explanations

    terms related to internet searches, potentially indicating a focus on web-related content or search queries

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "bing" along with related activities or themes

    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
    ensable
    -0.67
    iband
    -0.63
    ribut
    -0.63
    anim
    -0.62
    abeth
    -0.61
    sub
    -0.58
    classified
    -0.58
     grave
    -0.57
     controlled
    -0.56
     surviving
    -0.56
    POSITIVE LOGITS
    bing
    1.15
    tons
    1.06
    bery
    0.85
    HAM
    0.84
    wana
    0.79
    ton
    0.78
    gdala
    0.77
    ham
    0.73
    poon
    0.72
    poons
    0.71
    Activations Density 0.009%

    No Known Activations