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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. 8-RES-JB
    11. 6521
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    Explanations

    proper nouns or names of people or characters

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals mentioned in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Cerberus
    -0.64
     Thumbnails
    -0.60
     Victorian
    -0.56
    mercial
    -0.54
    ãĥ¼ãĥĨ
    -0.53
     CPC
    -0.52
     Disneyland
    -0.50
     CFR
    -0.50
     Costco
    -0.49
     precursor
    -0.49
    POSITIVE LOGITS
    yna
    0.75
    han
    0.75
    hw
    0.74
    jan
    0.74
    uy
    0.73
    je
    0.73
    aj
    0.72
    ahl
    0.72
    ouk
    0.72
    ifa
    0.72
    Activations Density 0.506%

    No Known Activations