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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 19363
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    Explanations

    references to a particular name 'Lind'

    oai_token-act-pair · gpt-3.5-turbo

    instances of the name "Lind" in various contexts

    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
    OPLE
    -0.81
    Ø©
    -0.75
     diaper
    -0.63
     inhibitors
    -0.63
     FTA
    -0.61
    ================================================================
    -0.61
    ABLE
    -0.60
     dism
    -0.60
    ================================
    -0.59
     diapers
    -0.57
    POSITIVE LOGITS
    strom
    1.25
    gren
    1.24
    isf
    1.16
    say
    1.14
    holm
    1.08
    quist
    1.06
    amar
    1.05
    ahl
    1.05
    enberg
    1.04
    orf
    1.04
    Activations Density 0.042%

    No Known Activations