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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. 3-RES-JB
    6. 8092
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    Explanations

    statements related to expertise or the mention of an expert in various fields

    oai_token-act-pair · gpt-3.5-turbo

    references to expertise or expert opinions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Helsinki
    -0.66
    MET
    -0.62
    à¥
    -0.62
     Territories
    -0.61
    FACE
    -0.61
    DEP
    -0.61
    apo
    -0.61
    forth
    -0.60
     Pesh
    -0.60
     Kand
    -0.60
    POSITIVE LOGITS
    sonian
    1.11
    ulously
    0.94
    minded
    0.83
    icion
    0.81
    ommel
    0.81
     opinion
    0.79
     reviewer
    0.78
     endors
    0.75
    inent
    0.74
     guiActiveUn
    0.73
    Activations Density 0.019%

    No Known Activations