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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 20452
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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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Sabha
    -0.83
    INESS
    -0.76
    Ĥİ
    -0.69
    iffe
    -0.66
    ickr
    -0.65
    lease
    -0.65
     Janeiro
    -0.64
     ASA
    -0.62
    ?]
    -0.62
     Baird
    -0.61
    POSITIVE LOGITS
    ographic
    0.72
     elements
    0.69
     remnants
    0.67
    atin
    0.65
     signature
    0.63
     prominently
    0.62
    ngth
    0.62
     tantal
    0.62
     intact
    0.61
    otyp
    0.61
    Activations Density 0.400%

    No Known Activations