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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. 8-RES-JB
    11. 8190
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    Explanations

    adjectives and descriptive terms related to serious topics or issues

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express concern or severity regarding situations or issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Natural
    -0.69
     Weston
    -0.61
    lees
    -0.56
     Jasper
    -0.56
     Formation
    -0.54
     Veter
    -0.52
    umar
    -0.52
     Trace
    -0.52
     Cooldown
    -0.52
     Juven
    -0.52
    POSITIVE LOGITS
    [/
    1.35
    %"
    1.30
    ]"
    1.27
    ãĢı
    1.24
    "—
    1.22
    "
    1.21
    »
    1.16
    ãĢį
    1.13
    "?
    1.11
    ''
    1.11
    Activations Density 1.106%

    No Known Activations