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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. 24022
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    Explanations

    time-related descriptions, especially related to spending time or duration

    oai_token-act-pair · gpt-3.5-turbo

    references to the duration of time spent on activities or experiences

    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
    ulence
    -0.67
    icator
    -0.66
    ific
    -0.64
    rium
    -0.64
    edom
    -0.63
    ulent
    -0.62
    stood
    -0.61
    ilage
    -0.60
     slate
    -0.59
     magnitude
    -0.58
    POSITIVE LOGITS
     outdoors
    0.84
     studying
    0.84
     researching
    0.74
     cultivating
    0.73
     discussing
    0.72
     wondering
    0.72
    izabeth
    0.71
     exploring
    0.70
     immersed
    0.70
    çīĪ
    0.69
    Activations Density 0.134%

    No Known Activations