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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. 8-RES-JB
    11. 5005
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    Explanations

    mentions of sports clubs and aspirations related to sports achievements

    oai_token-act-pair · gpt-3.5-turbo

    aspirations related to achieving success in competitive environments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     alarmed
    -0.73
    lash
    -0.72
    suggest
    -0.71
     suspicious
    -0.70
    pmwiki
    -0.68
     Warning
    -0.67
     overfl
    -0.66
     routers
    -0.65
     murm
    -0.65
     puzz
    -0.64
    POSITIVE LOGITS
     someday
    1.40
     sacrific
    0.97
     myself
    0.96
    eday
    0.90
     forever
    0.86
     hopefully
    0.85
     earn
    0.84
     immortality
    0.83
     repay
    0.83
     athlet
    0.81
    Activations Density 0.797%

    No Known Activations