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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. 17727
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    INDEX
    Explanations

    events or incidents leading to significant consequences or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to significant or premature conclusions in events or reports

    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
    milo
    -0.81
    dden
    -0.74
    heit
    -0.73
    arse
    -0.72
    iov
    -0.71
     behaved
    -0.69
    arrow
    -0.68
    regor
    -0.67
     cared
    -0.67
    ãĥ³ãĤ¸
    -0.67
    POSITIVE LOGITS
     demise
    1.52
     creation
    1.52
     removal
    1.48
     arrival
    1.48
     emergence
    1.48
     introduction
    1.47
     formation
    1.44
     dissolution
    1.44
     resignation
    1.43
     disappearance
    1.42
    Activations Density 0.304%

    No Known Activations