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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 7151
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    Explanations

    words related to locations or actions involving the action of 'picking'

    oai_token-act-pair · gpt-3.5-turbo

    words related to specific locations and historical events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BuyableInstoreAndOnline
    -0.88
    ATIONAL
    -0.82
     unfocusedRange
    -0.71
    ATTLE
    -0.66
    ANC
    -0.66
     warr
    -0.66
    ãĥ´ãĤ¡
    -0.65
     Windsor
    -0.64
    Ton
    -0.64
     Sparkle
    -0.64
    POSITIVE LOGITS
    ilver
    1.26
    haw
    1.25
    icks
    1.16
    hire
    1.01
    icking
    0.96
    etts
    0.93
    ety
    0.92
    hift
    0.87
    eter
    0.86
    ense
    0.85
    Activations Density 0.012%

    No Known Activations