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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. 7-RES-JB
    6. 3272
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    Explanations

    the name "Sean" followed by a variety of contexts and associations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Sean" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inarily
    -0.83
     circ
    -0.76
    inary
    -0.70
     subp
    -0.70
    yrinth
    -0.69
    icted
    -0.68
     pathological
    -0.66
    BIP
    -0.65
    enture
    -0.65
    spring
    -0.64
    POSITIVE LOGITS
     Hannity
    1.10
    apon
    1.01
     Spicer
    0.97
    Sean
    0.88
    viron
    0.81
    gan
    0.74
    lations
    0.74
    eman
    0.73
     Payton
    0.73
    ciation
    0.72
    Activations Density 0.017%

    No Known Activations