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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. 0-RES-JB
    11. 15443
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    Explanations

    references related to famous landmarks, particularly the Eiffel Tower

    oai_token-act-pair · gpt-3.5-turbo

    references to escalators and elevators within urban settings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oval
    -0.77
     Morrow
    -0.76
    oway
    -0.74
     Nicaragua
    -0.73
    Bet
    -0.71
     Sap
    -0.69
    atures
    -0.68
     Powder
    -0.68
     Rapp
    -0.68
    apes
    -0.68
    POSITIVE LOGITS
    fal
    3.07
     escal
    2.45
     elevator
    1.61
     pige
    1.40
     fal
    1.30
     crane
    1.28
     pigeon
    1.24
     elev
    1.08
     Airbus
    1.05
     pengu
    1.04
    Activations Density 0.055%

    No Known Activations