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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. 9-RES-JB
    11. 17627
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    Explanations

    phrases related to reading full stories or reports

    oai_token-act-pair · gpt-3.5-turbo

    mentions of comprehensive or complete content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    irgin
    -0.89
    ONSORED
    -0.80
    abbit
    -0.80
    ometers
    -0.78
    uca
    -0.75
    odka
    -0.75
    ibraries
    -0.74
    affles
    -0.73
    moil
    -0.71
    é¾į
    -0.70
    POSITIVE LOGITS
     list
    1.14
     text
    1.05
     quote
    1.03
     description
    1.02
     listing
    0.98
     transcript
    0.98
     article
    0.98
     explanation
    0.95
     report
    0.95
     excerpt
    0.94
    Activations Density 0.039%

    No Known Activations