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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. 10107
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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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    No Comments

    Negative Logits
     WCS
    -0.68
     corrid
    -0.68
    rar
    -0.67
     Vag
    -0.64
    ince
    -0.62
     Colon
    -0.61
    oj
    -0.61
    och
    -0.61
    erg
    -0.61
     Acer
    -0.60
    POSITIVE LOGITS
    INESS
    0.84
    umbn
    0.74
    hedon
    0.72
    hler
    0.70
    ODUCT
    0.69
    oaded
    0.67
    kefeller
    0.66
    udic
    0.65
    estern
    0.65
    opol
    0.63
    Activations Density 0.074%

    No Known Activations