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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. 6-RES-JB
    11. 14050
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    Explanations

    phrases indicating caution or wariness towards specific actions or situations

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating caution or skepticism

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     antioxid
    -0.70
    lass
    -0.69
    otti
    -0.68
    arity
    -0.67
     teasp
    -0.67
    hai
    -0.65
    Tool
    -0.65
    orld
    -0.65
    Tracker
    -0.65
    along
    -0.63
    POSITIVE LOGITS
     anything
    0.87
     whatsoever
    0.83
     ever
    0.81
     trusting
    0.79
     divul
    0.78
     commenting
    0.78
     outsiders
    0.77
     accepting
    0.75
     wasting
    0.75
     adopting
    0.75
    Activations Density 0.157%

    No Known Activations