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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. 6-RES-JB
    11. 19817
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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
    Not in Any Lists

    No Comments

    Negative Logits
    ufact
    -0.85
    EStream
    -0.79
    ichick
    -0.68
    emouth
    -0.67
    sein
    -0.65
    igans
    -0.64
     starved
    -0.63
    Reply
    -0.62
    cale
    -0.60
    CHR
    -0.60
    POSITIVE LOGITS
    Ö¼
    0.69
    ©¶æ
    0.68
     Lines
    0.65
     Imaging
    0.65
    ilic
    0.61
     Verb
    0.60
    agonist
    0.58
     Torment
    0.58
    ionics
    0.57
    orman
    0.56
    Activations Density 0.661%

    No Known Activations