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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. 1-RES-JB
    11. 23184
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    Explanations

    words related to a specific location, "Burnham"

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Burn" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DonaldTrump
    -0.85
    awaru
    -0.72
    FTWARE
    -0.69
     oblig
    -0.68
    ItemTracker
    -0.67
    oral
    -0.66
    berus
    -0.66
    ilial
    -0.65
    cffff
    -0.64
    omsky
    -0.64
    POSITIVE LOGITS
     Burn
    1.29
    Burn
    1.17
    burn
    1.06
     burn
    0.97
    burning
    0.93
    ards
    0.91
    aby
    0.88
    arded
    0.85
    ished
    0.85
     burns
    0.85
    Activations Density 0.010%

    No Known Activations