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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. 9-RES-JB
    11. 22692
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    Explanations

    names of cities

    oai_token-act-pair · gpt-3.5-turbo

    instances of a specific character or letter combination in context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Turk
    -0.77
     Mash
    -0.75
     Slash
    -0.70
     Bits
    -0.68
    BuyableInstoreAndOnline
    -0.65
     Yor
    -0.65
     Byte
    -0.65
     Clash
    -0.64
    Buyable
    -0.63
     Kiw
    -0.62
    POSITIVE LOGITS
    s
    1.24
    tion
    1.08
    oes
    1.06
    ses
    1.02
    ship
    0.99
    tions
    0.97
    ers
    0.96
    ould
    0.96
    eto
    0.95
    te
    0.94
    Activations Density 0.291%

    No Known Activations