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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. 11-RES-JB
    11. 23741
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    Explanations

    words related to memory, such as "working memory", "memory retrieval", "memory loss", "memory performance", "verbal memory", and "auditory memory"

    oai_token-act-pair · gpt-3.5-turbo

    terms related to memory and cognition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    osher
    -0.74
    wered
    -0.74
    govtrack
    -0.73
     Throne
    -0.67
    ounty
    -0.65
    risome
    -0.64
     Slaughter
    -0.63
     Chic
    -0.63
    wives
    -0.63
    ãĥ³ãĤ¸
    -0.62
    POSITIVE LOGITS
     impairment
    1.35
     skills
    1.25
     abilities
    1.24
     impair
    1.20
     faculties
    1.15
     impaired
    1.11
     ability
    1.09
     deficits
    1.07
     comprehension
    1.05
     functions
    1.03
    Activations Density 0.208%

    No Known Activations