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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. 8-RES-JB
    11. 10284
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    Explanations

    nut-related words, such as "almond" and "almonds"

    oai_token-act-pair · gpt-3.5-turbo

    specific food items and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fare
    -1.04
    soDeliveryDate
    -0.91
    atche
    -0.83
    hov
    -0.82
    kie
    -0.81
    borg
    -0.76
    bard
    -0.75
    liness
    -0.72
    risome
    -0.72
    tsky
    -0.71
    POSITIVE LOGITS
    illary
    0.68
    ments
    0.68
    eering
    0.67
    ists
    0.65
    uration
    0.64
     foil
    0.64
     bolts
    0.62
    uates
    0.61
    iary
    0.61
    uary
    0.60
    Activations Density 0.237%

    No Known Activations