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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. 9976
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    Explanations

    phrases related to actions or issues being addressed

    oai_token-act-pair · gpt-3.5-turbo

    sentences or phrases ending with periods

    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
    Not in Any Lists

    No Comments

    Negative Logits
    cipled
    -0.79
    ozyg
    -0.71
    forth
    -0.70
     affili
    -0.70
     interpreter
    -0.67
     overturn
    -0.66
     vind
    -0.65
     unbeat
    -0.65
    çľ
    -0.64
     sympath
    -0.64
    POSITIVE LOGITS
     Specifically
    1.40
     Whereas
    1.30
     Firstly
    1.17
     Luckily
    1.10
     Particularly
    1.09
     Whilst
    1.08
     While
    1.08
     Especially
    1.06
     Thankfully
    1.05
     According
    1.04
    Activations Density 0.635%

    No Known Activations