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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. 2-RES-JB
    11. 22010
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    Explanations

    names or variations with 'osh'

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals or names in the context of events or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     criminals
    -0.72
     Hosp
    -0.70
     Humans
    -0.70
    ered
    -0.66
     Hurricanes
    -0.65
     Focus
    -0.60
     term
    -0.59
    ensional
    -0.59
     partnerships
    -0.59
     Granger
    -0.58
    POSITIVE LOGITS
    nikov
    1.25
    ima
    1.12
    osh
    1.09
    adow
    1.02
    awk
    1.01
    ooter
    0.98
    oe
    0.98
    orn
    0.94
    ooting
    0.94
    ops
    0.93
    Activations Density 0.009%

    No Known Activations