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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. 10-RES-JB
    11. 5227
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    INDEX
    Explanations

    phrases related to locations or events

    oai_token-act-pair · gpt-3.5-turbo

    prepositions indicating locations or contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inventoryQuantity
    -0.92
    endif
    -0.88
    ãĤ´ãĥ³
    -0.80
    asso
    -0.79
    ror
    -0.78
    rette
    -0.76
    \<
    -0.75
     endif
    -0.72
    gey
    -0.72
    ouf
    -0.71
    POSITIVE LOGITS
     total
    1.16
     various
    1.07
     varying
    1.01
     seven
    0.93
     nine
    0.92
     eight
    0.91
     assorted
    0.91
     six
    0.87
     five
    0.87
     four
    0.85
    Activations Density 0.365%

    No Known Activations