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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. 7-RES-JB
    11. 11161
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    Explanations

    words that suggest making a suggestion or expressing a hypothetical scenario

    oai_token-act-pair · gpt-3.5-turbo

    expressions of hypothetical statements or opinions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Gutenberg
    -0.65
     Kag
    -0.60
     Od
    -0.60
     Abe
    -0.59
     Seoul
    -0.58
    \<
    -0.56
     Fortune
    -0.56
     intra
    -0.55
     Trap
    -0.55
     Kinder
    -0.54
    POSITIVE LOGITS
     advise
    1.01
     recommend
    1.00
     gladly
    1.00
     prefer
    0.91
     definitely
    0.91
     dearly
    0.91
     characterize
    0.90
     assume
    0.89
     argue
    0.89
     nominate
    0.89
    Activations Density 0.080%

    No Known Activations