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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. 14249
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    INDEX
    Explanations

    phrases expressing appreciation or approval

    oai_token-act-pair · gpt-3.5-turbo

    sentence-ending punctuation marks and statements indicating conclusions or emphasis

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     credential
    -0.79
     recognized
    -0.78
     negoti
    -0.77
     knockout
    -0.76
     abduct
    -0.75
     rent
    -0.74
     collabor
    -0.72
     kidn
    -0.71
     authorization
    -0.71
     lab
    -0.71
    POSITIVE LOGITS
    Hope
    1.20
    Imm
    1.18
    Others
    1.18
    Secondly
    1.17
    However
    1.15
    Eva
    1.12
    Laun
    1.11
    Each
    1.11
    They
    1.11
    Its
    1.10
    Activations Density 0.207%

    No Known Activations