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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. 16723
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    Explanations

    phrases related to considering or taking action based on information or knowledge

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the need for deep understanding or consideration

    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
     nomination
    -0.67
     unfinished
    -0.65
     confidentiality
    -0.65
     warr
    -0.65
     winner
    -0.64
    íķ
    -0.64
     outgoing
    -0.63
     quickest
    -0.61
     preparation
    -0.61
    winner
    -0.60
    POSITIVE LOGITS
     realize
    0.98
     juxtap
    0.94
     contrasted
    0.92
     realise
    0.92
     consider
    0.89
     realizing
    0.86
     compare
    0.85
     realizes
    0.84
     considering
    0.83
     realised
    0.81
    Activations Density 0.437%

    No Known Activations