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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. 4-RES-JB
    11. 4246
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    Explanations

    instances of the text "Phil"

    oai_token-act-pair · gpt-3.5-turbo

    the name "Phil" in various contexts

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

    No Comments

    Negative Logits
    CLASSIFIED
    -0.92
    tenance
    -0.84
    DERR
    -0.76
    yrinth
    -0.75
    Demand
    -0.74
    ãĥ¼ãĥĨãĤ£
    -0.72
    erers
    -0.69
    CONCLUS
    -0.67
    GGGG
    -0.65
     Elves
    -0.64
    POSITIVE LOGITS
    anthrop
    1.40
    istine
    1.26
    oton
    1.05
    adel
    1.03
    harm
    1.02
    onite
    1.02
    orio
    1.00
    ophe
    1.00
    agraph
    1.00
    andering
    1.00
    Activations Density 0.007%

    No Known Activations