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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. 21387
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    Explanations

    sequences that likely represent dates or codes

    oai_token-act-pair · gpt-3.5-turbo

    structured data, such as numerical information and specific formats

    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
    sted
    -0.56
    omorphic
    -0.56
    ement
    -0.50
    SPONSORED
    -0.48
    below
    -0.46
    usted
    -0.46
    ï
    -0.45
     hinges
    -0.43
    cffff
    -0.43
     carrier
    -0.43
    POSITIVE LOGITS
    --------------------
    0.59
    owship
    0.58
    ļéĨĴ
    0.55
    âĵĺ
    0.52
     Falk
    0.51
     Psychiatric
    0.50
    ================================================================
    0.49
     horm
    0.48
    ++++++++++++++++
    0.48
     externalToEVAOnly
    0.48
    Activations Density 0.267%

    No Known Activations