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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. 10-RES-JB
    11. 1266
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    INDEX
    Explanations

    words related to a specific job or role

    oai_token-act-pair · gpt-3.5-turbo

    references to positional concepts or roles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Interstitial
    -0.86
    rosso
    -0.76
    ebook
    -0.75
    algia
    -0.75
    cause
    -0.75
    actionDate
    -0.74
    STON
    -0.70
    displayText
    -0.70
    aud
    -0.68
    NetMessage
    -0.68
    POSITIVE LOGITS
     positions
    1.04
     position
    1.04
    holders
    0.98
    holder
    0.87
     vacated
    0.86
     holders
    0.81
     holder
    0.78
    ession
    0.77
     quo
    0.75
    ngth
    0.74
    Activations Density 0.047%

    No Known Activations