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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. 2811
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    concepts related to technology and innovation

    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
    leted
    -0.60
     counts
    -0.56
     shots
    -0.56
     glare
    -0.55
     gunshots
    -0.55
     clearance
    -0.55
     advis
    -0.54
    ighed
    -0.54
     pores
    -0.54
     EDIT
    -0.54
    POSITIVE LOGITS
     someday
    1.07
     ASAP
    0.75
    ĺħ
    0.74
     tomorrow
    0.73
    anooga
    0.72
     sometime
    0.70
    åij
    0.69
    instead
    0.68
     next
    0.66
     sooner
    0.66
    Activations Density 1.203%

    No Known Activations