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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. 9-RES-JB
    6. 21735
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    INDEX
    Explanations

    verbs related to actions done by individuals or groups

    oai_token-act-pair · gpt-3.5-turbo

    actions that involve conflict or confrontation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     .)
    -0.94
    .]
    -0.88
    .):
    -0.80
    .)
    -0.75
    _-_
    -0.71
    .).
    -0.67
     awoken
    -0.66
     âĢķ
    -0.65
    .--
    -0.64
    Enlarge
    -0.64
    POSITIVE LOGITS
     etc
    0.70
     rebounds
    0.56
     medic
    0.55
     hairc
    0.54
     mint
    0.54
     headers
    0.52
    $,
    0.52
     VC
    0.51
     pickup
    0.51
     sequ
    0.51
    Activations Density 0.647%

    No Known Activations