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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. 4-RES-JB
    6. 3561
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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 @ 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
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    Negative Logits
     Corpus
    -0.90
    ropolitan
    -0.80
     Pose
    -0.77
    eers
    -0.77
     quo
    -0.70
     ç¥ŀ
    -0.69
    geist
    -0.66
    ria
    -0.66
    folk
    -0.64
     Polic
    -0.63
    POSITIVE LOGITS
    ESS
    1.06
    adeon
    1.00
    inks
    0.96
    INK
    0.96
    IVE
    0.92
    OME
    0.91
    ubs
    0.90
    IVERS
    0.89
    inking
    0.89
    IVER
    0.86
    Activations Density 0.004%

    No Known Activations