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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. 11-RES-JB
    11. 5333
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    Explanations

    numeric ratings in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and values in a structured format

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     skelet
    -0.62
     Bulgar
    -0.55
     reluct
    -0.52
     Draper
    -0.52
     Ethiop
    -0.51
    âĨ
    -0.51
     Wolves
    -0.50
     MV
    -0.50
    TEXT
    -0.50
     FANT
    -0.49
    POSITIVE LOGITS
    soDeliveryDate
    0.68
    rounded
    0.65
    arthed
    0.60
    aido
    0.59
    ubi
    0.59
    Jr
    0.59
    uple
    0.56
    Repeat
    0.56
    slaught
    0.56
    awaru
    0.56
    Activations Density 0.021%

    No Known Activations