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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. 3-RES-JB
    11. 2956
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    catentry
    -0.50
    paio
    -0.45
    MAP
    -0.41
    major
    -0.40
     batter
    -0.40
     lockdown
    -0.40
    Streamer
    -0.39
    Course
    -0.39
    turned
    -0.39
    GREEN
    -0.39
    POSITIVE LOGITS
    ymes
    0.60
    ĸļ
    0.58
    É
    0.55
    èĢħ
    0.55
     (@
    0.54
    lycer
    0.53
    onge
    0.50
    ÙĦ
    0.50
     âĺ
    0.50
    ardless
    0.50
    Activations Density 3.755%

    No Known Activations