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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 7342
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to scientific phenomena and concepts

    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
    icipated
    -0.74
     muted
    -0.65
     weap
    -0.64
     truthful
    -0.62
     hurd
    -0.61
    etheless
    -0.61
     lavish
    -0.60
    laim
    -0.59
     ravaged
    -0.59
    ictions
    -0.59
    POSITIVE LOGITS
    "—
    0.73
    ".
    0.71
     Versus
    0.69
     Curve
    0.68
     Syndrome
    0.68
     versus
    0.66
     Knot
    0.66
     Geh
    0.65
    ",
    0.64
     Route
    0.64
    Activations Density 0.446%

    No Known Activations