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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. 4-RES-JB
    11. 11014
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    Explanations

    prepositions and adverbs related to time and location

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating temporal or spatial positioning, particularly involving the word "at" or "in" followed by a number

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

    No Comments

    Negative Logits
     RTX
    -0.67
    DAQ
    -0.66
     Janeiro
    -0.63
    iasco
    -0.62
     Nissan
    -0.62
    osate
    -0.61
    soever
    -0.60
    istries
    -0.59
     Summit
    -0.58
    eled
    -0.57
    POSITIVE LOGITS
     IPM
    0.64
    clus
    0.62
    fill
    0.62
    ritical
    0.61
    animate
    0.61
    ties
    0.60
    rowd
    0.60
    otin
    0.60
    lement
    0.59
    und
    0.59
    Activations Density 0.493%

    No Known Activations