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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. 6850
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    Explanations

    phrases related to examining something in detail

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating detailed analysis or examination of subjects

    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
    å§
    -0.70
    RIP
    -0.70
    roud
    -0.66
    yth
    -0.66
    hello
    -0.66
    Wr
    -0.63
    Os
    -0.62
    ITY
    -0.62
     guiActive
    -0.61
    -----
    -0.60
    POSITIVE LOGITS
     detail
    1.13
     depth
    0.83
     microscope
    0.83
    clusively
    0.81
     analys
    0.77
     meticulous
    0.76
     situ
    0.75
     exhaustive
    0.74
     microsc
    0.74
     assessing
    0.73
    Activations Density 0.443%

    No Known Activations