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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. 3-RES-JB
    11. 9662
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    INDEX
    Explanations

    proper names, specifically the name "Byron"

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of specific names, particularly individuals

    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
    arov
    -0.99
    itars
    -0.77
    EMS
    -0.74
    enced
    -0.72
    orney
    -0.71
    lu
    -0.70
    geries
    -0.69
    entially
    -0.68
    igating
    -0.68
    ropri
    -0.67
    POSITIVE LOGITS
    stall
    0.83
    stadt
    0.80
    tera
    0.79
    stal
    0.77
    acci
    0.69
     Byron
    0.68
    mong
    0.67
    heim
    0.66
    crow
    0.66
    housing
    0.64
    Activations Density 0.012%

    No Known Activations