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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. 10-RES-JB
    11. 5146
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    Explanations

    word pairs related to physical characteristics or attributes

    oai_token-act-pair · gpt-3.5-turbo

    details about materials and their properties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     UNCLASSIFIED
    -0.70
    laim
    -0.70
    Merit
    -0.69
    ONSORED
    -0.65
    reported
    -0.64
    reporting
    -0.63
    wrong
    -0.63
    Financial
    -0.62
    financial
    -0.61
    cientious
    -0.61
    POSITIVE LOGITS
     textures
    1.00
     my
    0.91
     each
    0.88
     these
    0.87
     mine
    0.83
    tones
    0.82
     everything
    0.82
     pics
    0.82
     them
    0.81
     this
    0.81
    Activations Density 0.462%

    No Known Activations