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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. 4-RES-JB
    11. 16442
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    Explanations

    mentions of the word "por" with varying activation strengths

    oai_token-act-pair · gpt-3.5-turbo

    repeated occurrences of the word "por" and its variations, indicating content related to a specific subject or person

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

    No Comments

    Negative Logits
    enegger
    -0.81
    hips
    -0.79
    ITNESS
    -0.78
     GOODMAN
    -0.71
    ITED
    -0.69
    INESS
    -0.67
    ARDS
    -0.67
    ãĤ¼ãĤ¦ãĤ¹
    -0.66
     Wanted
    -0.66
     Dickinson
    -0.66
    POSITIVE LOGITS
    oshenko
    1.09
    agraph
    1.06
    folios
    1.03
    cup
    1.01
    cel
    0.99
    folio
    0.98
    plet
    0.95
    quet
    0.91
    leased
    0.91
    Äį
    0.90
    Activations Density 0.006%

    No Known Activations