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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. 8-RES-JB
    11. 12463
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    INDEX
    Explanations

    phrases related to falsehoods or inaccuracies

    oai_token-act-pair · gpt-3.5-turbo

    references to deceit or falsehoods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hens
    -1.01
     guiActiveUnfocused
    -1.01
    hem
    -0.86
    rador
    -0.77
    ajo
    -0.75
    hetti
    -0.74
    illes
    -0.70
    mun
    -0.70
    rike
    -0.70
    asio
    -0.69
    POSITIVE LOGITS
     positives
    1.16
     guiActiveUn
    0.99
     dich
    0.92
     guiIcon
    0.89
     alarms
    0.85
     accusation
    0.85
     accuser
    0.84
     negatives
    0.83
    ulent
    0.81
     accusations
    0.78
    Activations Density 0.030%

    No Known Activations