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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. 7-RES-JB
    11. 11818
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    Explanations

    references to mountain names

    oai_token-act-pair · gpt-3.5-turbo

    references to mountains

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     language
    -0.73
    ļéĨĴ
    -0.69
    xx
    -0.65
     briefs
    -0.63
    ersive
    -0.62
    IME
    -0.60
    razil
    -0.60
    ister
    -0.59
    conom
    -0.59
     cyt
    -0.59
    POSITIVE LOGITS
    aine
    1.04
     Sinai
    0.96
    aint
    0.94
     Everest
    0.88
    ains
    0.86
    castle
    0.79
    itions
    0.76
    heny
    0.76
    roy
    0.76
    ain
    0.75
    Activations Density 0.016%

    No Known Activations