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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. 20542
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    Explanations

    terms related to a specific concept or entity, indicated by the repeated and consistent activations of "og" with varying intensities

    oai_token-act-pair · gpt-3.5-turbo

    words or phrases related to a specific genre or theme in storytelling

    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
    terday
    -0.74
     Michaels
    -0.66
     Leilan
    -0.66
    IDENT
    -0.65
    ensional
    -0.65
    wcs
    -0.63
     disinfect
    -0.61
    birth
    -0.60
     Staples
    -0.60
    staking
    -0.59
    POSITIVE LOGITS
    roup
    1.21
    roups
    1.19
    gers
    1.18
    gy
    1.13
    ues
    1.08
    allery
    1.03
    raphic
    1.01
    glers
    1.00
    ogo
    1.00
    uchi
    1.00
    Activations Density 0.019%

    No Known Activations