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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. 11-RES-JB
    11. 23706
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases relating to technological and digital concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.88
     apologised
    -0.67
     ¯
    -0.61
     apologise
    -0.58
    ?ãĢį
    -0.58
     +++
    -0.57
    )))
    -0.57
     Purg
    -0.56
    ''.
    -0.56
    âĸł
    -0.56
    POSITIVE LOGITS
     and
    0.73
    DAQ
    0.71
     organizations
    0.64
    ,
    0.64
    ®,
    0.61
     programs
    0.56
    checks
    0.55
     airplanes
    0.54
     each
    0.53
     organization
    0.53
    Activations Density 1.116%

    No Known Activations