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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. 6-RES-JB
    11. 15343
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    Explanations

    phrases related to modifications or changes in text

    oai_token-act-pair · gpt-3.5-turbo

    the presence of special or unique characters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     unmarked
    -0.75
     reception
    -0.69
     sidx
    -0.67
    creen
    -0.66
     buggy
    -0.65
     carriage
    -0.65
     compiling
    -0.62
     publicity
    -0.62
     sled
    -0.62
     filming
    -0.61
    POSITIVE LOGITS
    ¬
    0.96
    requires
    0.87
    ¾
    0.87
    ¹
    0.86
    º
    0.85
    orsi
    0.83
    dayName
    0.82
    »
    0.82
    agree
    0.81
    ½
    0.81
    Activations Density 0.415%

    No Known Activations