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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. 1-RES-JB
    11. 21978
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    Explanations

    references to organized activities or events that involve multiple steps or components

    oai_token-act-pair · gpt-3.5-turbo

    references to recurring events or activities labeled as "sessions."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tymology
    -0.66
     à¤
    -0.62
     Haz
    -0.61
     generous
    -0.60
     archaic
    -0.60
     dup
    -0.58
    lessly
    -0.58
     Lowry
    -0.58
     Uz
    -0.57
    historic
    -0.56
    POSITIVE LOGITS
     sessions
    1.50
     session
    1.24
     Session
    1.04
    è¦ļéĨĴ
    1.01
    ongs
    0.86
     Sessions
    0.85
    ussion
    0.84
    hops
    0.81
    nesday
    0.80
    ional
    0.80
    Activations Density 0.006%

    No Known Activations