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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
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    Explanations

    mentions of the city "Chicago"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the substring "chi"

    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
    Reviewer
    -0.86
    */(
    -0.83
    ership
    -0.76
    ij士
    -0.75
    ¥µ
    -0.70
    Ĥ¬
    -0.69
    eatures
    -0.69
    dayName
    -0.65
    icative
    -0.65
    sw
    -0.64
    POSITIVE LOGITS
    chi
    0.98
    pper
    0.95
    pei
    0.94
    ppa
    0.92
    hei
    0.92
    arella
    0.92
    quel
    0.90
    ichi
    0.90
    ya
    0.86
    pping
    0.85
    Activations Density 0.005%

    No Known Activations