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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. 23506
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    Explanations

    terms related to enhancing or protecting the physical or digital well-being and operations of systems

    oai_token-act-pair · gpt-3.5-turbo

    references to health and immunity-related topics

    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
     confir
    -0.71
     unfocusedRange
    -0.58
    HAHAHAHA
    -0.57
     Polic
    -0.55
    raq
    -0.54
    trak
    -0.53
     TOUR
    -0.51
    Fre
    -0.51
    çĶ°
    -0.50
     Ladies
    -0.50
    POSITIVE LOGITS
     rather
    1.17
     instead
    1.02
     whereas
    0.99
     cheaply
    0.87
     beforehand
    0.81
     lest
    0.81
     while
    0.80
     without
    0.80
     amid
    0.78
    rather
    0.78
    Activations Density 1.065%

    No Known Activations