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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. 4-RES-JB
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    Explanations

    the word "disappointed" and related phrases

    oai_token-act-pair · gpt-3.5-turbo

    expressions of disappointment

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

    No Comments

    Negative Logits
    alach
    -0.79
    pmwiki
    -0.77
    ittee
    -0.72
     dotted
    -0.71
     intensive
    -0.67
    otin
    -0.67
    educ
    -0.66
     livest
    -0.66
    amen
    -0.65
    aucas
    -0.64
    POSITIVE LOGITS
    imaru
    0.84
     disappointment
    0.81
     disappoint
    0.78
     Customers
    0.78
     disappointed
    0.76
    NESS
    0.70
    ments
    0.69
    actory
    0.66
    ctive
    0.66
     ABE
    0.66
    Activations Density 0.015%

    No Known Activations