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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. 294
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    Explanations

    numerical measurements

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and measurements

    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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    Negative Logits
     USAF
    -0.43
     neighb
    -0.41
    jiang
    -0.40
    oola
    -0.40
     Canaver
    -0.39
    akra
    -0.38
     Palestin
    -0.38
    ÄŁ
    -0.38
     âĵĺ
    -0.38
    oust
    -0.37
    POSITIVE LOGITS
    inis
    0.43
    Interstitial
    0.41
    «
    0.41
    =-=-
    0.40
    otom
    0.39
     [|
    0.38
    adem
    0.36
    -|
    0.36
    requires
    0.36
    ]=
    0.36
    Activations Density 4.472%

    No Known Activations