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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. 18024
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    INDEX
    Explanations

    mentions of the word "Camp"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Camp" followed by various designations or locations

    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
     magnification
    -0.75
     platinum
    -0.66
     pulse
    -0.66
     regress
    -0.63
     Marketable
    -0.61
    rencies
    -0.60
    raught
    -0.60
    insured
    -0.59
    à¥
    -0.59
     redistributed
    -0.58
    POSITIVE LOGITS
     Camp
    1.30
    camp
    1.27
    Camp
    1.16
    agna
    0.97
    bell
    0.95
     camp
    0.91
    ground
    0.90
    ovie
    0.90
    aign
    0.89
    ione
    0.82
    Activations Density 0.007%

    No Known Activations