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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. 22870
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    Explanations

    phrases indicating comparison or purpose

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating comparison or similarity

    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
    ACA
    -0.77
    ICA
    -0.64
    chemical
    -0.63
    TC
    -0.61
    Around
    -0.60
    latest
    -0.59
    oller
    -0.59
    CCC
    -0.58
    MD
    -0.57
     seriousness
    -0.57
    POSITIVE LOGITS
    bestos
    0.92
    pects
    0.88
     regards
    0.86
    ynchron
    0.84
     evidenced
    0.81
    pired
    0.80
    ylum
    0.79
    phalt
    0.74
    ociated
    0.74
    pires
    0.73
    Activations Density 0.043%

    No Known Activations