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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. 6-RES-JB
    11. 9524
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    INDEX
    Explanations

    dates or time periods

    oai_token-act-pair · gpt-3.5-turbo

    temporal references related to starting points in time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abled
    -0.76
    namese
    -0.74
    buster
    -0.73
    ken
    -0.71
    soType
    -0.71
    ascript
    -0.71
    osponsors
    -0.65
    Names
    -0.64
    erness
    -0.63
    luent
    -0.63
    POSITIVE LOGITS
     earnest
    0.84
     dusk
    0.66
     anew
    0.65
     takeoff
    0.64
    here
    0.63
     daylight
    0.63
     McMaster
    0.62
     Gutenberg
    0.61
     prelim
    0.61
     sporadic
    0.59
    Activations Density 0.158%

    No Known Activations