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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. 130
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    Explanations

    mentions of a specific news outlet named "Newtown Bee"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Bee."

    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
    ipping
    -0.83
    inho
    -0.79
    oppable
    -0.79
    ainer
    -0.76
    iability
    -0.76
    ablishment
    -0.75
    sburgh
    -0.75
    ional
    -0.75
    ictional
    -0.74
    utherford
    -0.74
    POSITIVE LOGITS
     Bee
    1.27
    keeping
    1.11
    keeper
    1.08
    bee
    1.07
    keepers
    1.02
    Bee
    0.98
     bee
    0.91
    zeb
    0.89
    ble
    0.88
    be
    0.85
    Activations Density 0.008%

    No Known Activations