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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. 7-RES-JB
    6. 11384
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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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     inhabit
    -0.77
    mosp
    -0.69
    ãĥ³ãĤ¸
    -0.68
    ovie
    -0.68
     inhab
    -0.67
    Lens
    -0.66
    sci
    -0.66
    hov
    -0.64
    ankind
    -0.64
    iets
    -0.64
    POSITIVE LOGITS
     coupons
    0.86
     invoice
    0.85
     entit
    0.85
     waiver
    0.85
     paperwork
    0.84
     approvals
    0.83
     waivers
    0.83
     Etsy
    0.82
     refund
    0.82
    eligible
    0.82
    Activations Density 0.838%

    No Known Activations