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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. 7-RES-JB
    11. 14004
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    Explanations

    specific financial terms related to corporate actions

    oai_token-act-pair · gpt-3.5-turbo

    references to financial activities and environmental issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    .).
    -0.75
    *.
    -0.72
    '.
    -0.71
    >.
    -0.66
    ".[
    -0.64
    `.
    -0.63
    .'"
    -0.63
    ]."
    -0.63
    ".
    -0.62
    '."
    -0.62
    POSITIVE LOGITS
     varies
    0.74
     depends
    0.63
     differed
    0.63
     coincides
    0.59
     outweigh
    0.59
     constitutes
    0.56
    isphere
    0.56
     involves
    0.55
     vary
    0.53
     depended
    0.52
    Activations Density 1.556%

    No Known Activations