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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. 18927
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    Explanations

    instances where individuals express their thoughts or concerns about specific scenarios or possibilities

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to thoughts and future possibilities

    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
    aples
    -0.68
     Sop
    -0.66
    Poké
    -0.63
    arta
    -0.62
    WS
    -0.61
     Basin
    -0.60
     Kats
    -0.60
     Spac
    -0.60
     Temper
    -0.60
     Ago
    -0.60
    POSITIVE LOGITS
     itself
    0.81
     afforded
    0.73
     of
    0.72
    enance
    0.71
     thereof
    0.71
    ossibility
    0.70
     posed
    0.68
    ually
    0.66
    lich
    0.65
    forts
    0.64
    Activations Density 0.148%

    No Known Activations