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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
    11. 24064
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    Explanations

    words related to increasing quantitative or qualitative characteristics

    oai_token-act-pair · gpt-3.5-turbo

    terms related to quantity and increase

    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
    istries
    -0.79
     anonymity
    -0.73
    SHIP
    -0.69
    webkit
    -0.68
     decency
    -0.67
     Unreal
    -0.66
     mailing
    -0.61
    edin
    -0.61
    xus
    -0.60
    NESS
    -0.59
    POSITIVE LOGITS
     progresses
    1.20
     progressed
    0.96
     unfolds
    0.87
     enters
    0.77
     unfolded
    0.76
     ascended
    0.75
    ifted
    0.72
     evolves
    0.69
     grows
    0.68
     approaches
    0.66
    Activations Density 0.744%

    No Known Activations