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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. 16580
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    Explanations

    instances where an individual or a specific group is highlighted or emphasized within a context

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the concept of 'the one' or singular important individuals in various contexts

    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
    tesque
    -0.78
    enture
    -0.70
    tnc
    -0.66
    ieties
    -0.65
    ouple
    -0.64
    fw
    -0.64
    iety
    -0.62
    ancies
    -0.61
    lde
    -0.61
    ulate
    -0.60
    POSITIVE LOGITS
     responsible
    0.97
     who
    0.88
     laughing
    0.84
     reacting
    0.79
     crying
    0.79
     deciding
    0.78
     risking
    0.77
     doing
    0.77
     driving
    0.77
     screwed
    0.76
    Activations Density 0.084%

    No Known Activations