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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. 19475
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    Explanations

    phrases related to recent events or interviews

    oai_token-act-pair · gpt-3.5-turbo

    references to recent events or studies

    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
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    Negative Logits
     actionGroup
    -0.87
    amines
    -0.80
     Gods
    -0.77
    ernels
    -0.75
    ammers
    -0.75
     idols
    -0.75
     brakes
    -0.73
    ands
    -0.71
    ences
    -0.71
     Loans
    -0.69
    POSITIVE LOGITS
     statement
    0.89
     snippet
    0.85
    statement
    0.84
     snapshot
    0.83
     affidavit
    0.81
     bombshell
    0.79
     PowerPoint
    0.78
    rolet
    0.78
     interview
    0.76
     article
    0.76
    Activations Density 0.079%

    No Known Activations