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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. 17839
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    INDEX
    Explanations

    conditional statements indicating a desire or preference

    oai_token-act-pair · gpt-3.5-turbo

    expressions of desire or intention

    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
     Xuan
    -0.63
     Trap
    -0.61
     Gutenberg
    -0.61
    Frag
    -0.59
     Fortune
    -0.59
     Kag
    -0.59
     Gad
    -0.59
     Kinder
    -0.59
    pires
    -0.58
     Hebdo
    -0.58
    POSITIVE LOGITS
     advise
    1.14
     recommend
    1.12
     sugg
    1.08
     gladly
    1.05
     prefer
    1.04
     characterize
    1.03
     appreciate
    1.00
     nominate
    1.00
     suggest
    0.99
     expect
    0.98
    Activations Density 0.071%

    No Known Activations