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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. 2-RES-JB
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    Explanations

    mentions of the word "iPhone" at different intensities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to technology, specifically focusing on Apple products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CLA
    -0.78
    chell
    -0.73
     Supplemental
    -0.68
     merit
    -0.66
     Cabinet
    -0.65
    KNOWN
    -0.63
     Opposition
    -0.63
     mitigation
    -0.62
     caution
    -0.62
     Kraft
    -0.62
    POSITIVE LOGITS
    iph
    1.34
    ilic
    1.07
    osph
    1.05
    onet
    1.04
    ysics
    1.03
    agonal
    0.99
    obia
    0.99
    izoph
    0.96
    oton
    0.96
    teenth
    0.93
    Activations Density 0.004%

    No Known Activations