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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. 4-RES-JB
    11. 1460
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    references to publishers

    oai_token-act-pair · gpt-3.5-turbo

    references to publishers

    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
    Not in Any Lists

    No Comments

    Negative Logits
    umph
    -0.73
    uli
    -0.72
    olit
    -0.70
    plets
    -0.68
    reme
    -0.65
    unda
    -0.65
    immer
    -0.65
    enei
    -0.64
    udence
    -0.64
    ibaba
    -0.64
    POSITIVE LOGITS
    lisher
    1.22
    itatively
    0.84
    lishing
    0.79
     publisher
    0.79
     Publisher
    0.75
    lishes
    0.74
     publishers
    0.74
     toget
    0.70
     encount
    0.70
     laureate
    0.67
    Activations Density 0.024%

    No Known Activations