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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 19921
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
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    No Comments

    Negative Logits
     withd
    -0.68
     constitu
    -0.63
     mete
    -0.62
    heastern
    -0.59
     downstream
    -0.58
     misguided
    -0.56
    irez
    -0.56
     inadequate
    -0.56
     ItemLevel
    -0.55
    successful
    -0.54
    POSITIVE LOGITS
    pox
    0.78
    addle
    0.74
    -
    0.70
    iasis
    0.70
    isc
    0.67
    mask
    0.66
    WAR
    0.64
    coin
    0.64
    gate
    0.63
    wait
    0.63
    Activations Density 0.907%

    No Known Activations