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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. 9-RES-JB
    11. 17323
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    Explanations

    descriptions or mentions of individuals or characters

    oai_token-act-pair · gpt-3.5-turbo

    key phrases related to significant events or changes in people's lives or communities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     (@
    -0.65
    ___
    -0.65
     ___
    -0.64
     Godd
    -0.60
     Emails
    -0.60
    ðŁij
    -0.60
    "}],"
    -0.59
    !"
    -0.59
    amaz
    -0.59
    $$$$
    -0.58
    POSITIVE LOGITS
     util
    0.97
     recognise
    0.95
     Whilst
    0.93
     whilst
    0.89
     realised
    0.88
     recognised
    0.87
     emphas
    0.83
    Firstly
    0.83
     somewhat
    0.80
     realise
    0.80
    Activations Density 1.691%

    No Known Activations