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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 19706
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    INDEX
    Explanations

    proper nouns representing individuals

    oai_token-act-pair · gpt-3.5-turbo

    names of notable individuals along with their achievements or roles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    .",
    -0.82
    !".
    -0.75
    ".[
    -0.72
    ".
    -0.63
    `.
    -0.63
    %.
    -0.63
    '."
    -0.61
    .""
    -0.61
     attRot
    -0.61
    .:
    -0.60
    POSITIVE LOGITS
    *)
    0.71
     acronym
    0.59
    pires
    0.58
    )|
    0.55
    ?)
    0.54
     Lloyd
    0.54
    )
    0.53
     ?)
    0.52
     umbrella
    0.51
     )]
    0.51
    Activations Density 1.785%

    No Known Activations