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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. 5479
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    Explanations

    phrases related to various activities and events happening in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    elements related to social dynamics and community interactions

    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
    "))
    -0.85
    ?",
    -0.76
    ukong
    -0.64
    )",
    -0.64
    "]
    -0.63
    yss
    -0.62
    ondon
    -0.61
    estine
    -0.61
    )]
    -0.61
    .",
    -0.60
    POSITIVE LOGITS
     notwithstanding
    0.73
     accordingly
    0.72
     nonetheless
    0.70
     alongside
    0.68
     amidst
    0.64
     amid
    0.63
     akin
    0.63
     along
    0.63
     wherever
    0.62
     loader
    0.61
    Activations Density 1.015%

    No Known Activations