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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. 4-RES-JB
    11. 14544
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    Explanations

    references to a specific term, "Mega," which likely relates to Mega evolved beings or entities in the context mentioned in the document

    oai_token-act-pair · gpt-3.5-turbo

    references to the "Mega Man" franchise

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

    No Comments

    Negative Logits
    \\\\\\\\
    -0.91
    rug
    -0.90
    ivities
    -0.88
     âĸº
    -0.88
    ttp
    -0.80
    ongs
    -0.78
    \\\\
    -0.75
    utenant
    -0.75
    NetMessage
    -0.74
    hs
    -0.74
    POSITIVE LOGITS
    adian
    0.84
    yrinth
    0.83
    ulic
    0.83
     Mond
    0.79
     Occupations
    0.72
     Butterfly
    0.71
    Syn
    0.68
     Falcon
    0.67
    Fal
    0.65
     Arbor
    0.65
    Activations Density 0.026%

    No Known Activations