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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. 6-RES-JB
    11. 19801
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    Explanations

    phrases or sentences explaining reasons or justifications

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing knowledge or understanding

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xit
    -0.83
    isode
    -0.73
    lez
    -0.72
    anon
    -0.71
     âĵĺ
    -0.71
    ESA
    -0.70
     Appears
    -0.70
    jri
    -0.69
    udos
    -0.68
    âĢİ
    -0.67
    POSITIVE LOGITS
     outnumbered
    0.78
     pree
    0.73
     messed
    0.71
     collateral
    0.71
     %%
    0.70
     outwe
    0.69
     cheap
    0.68
     technically
    0.67
     verte
    0.66
     scarce
    0.65
    Activations Density 0.580%

    No Known Activations