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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
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    Explanations

    references to entities or proper nouns related to the term "Eagle"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Eagle" and its variations

    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
    */(
    -0.78
    erest
    -0.72
    etime
    -0.71
    ÑĮ
    -0.70
    etimes
    -0.67
    Wr
    -0.67
     Lanka
    -0.66
    osuke
    -0.65
    ĸļ
    -0.64
     Canaver
    -0.64
    POSITIVE LOGITS
     Eagle
    1.34
     Scout
    0.88
     eagle
    0.88
    agle
    0.83
    ridge
    0.81
    horn
    0.80
    agles
    0.79
    gart
    0.76
    blade
    0.75
     Claw
    0.74
    Activations Density 0.005%

    No Known Activations