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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. 7-RES-JB
    11. 3980
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    Explanations

    references to a specific location called "Whitewater."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Whit"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    PsyNetMessage
    -0.94
    igslist
    -0.76
    anwhile
    -0.75
     GEAR
    -0.74
    aeda
    -0.72
     mileage
    -0.72
    VID
    -0.70
    anova
    -0.69
    UTION
    -0.66
    6000
    -0.65
    POSITIVE LOGITS
    ewater
    1.40
    eness
    1.14
    ened
    1.09
    bread
    1.08
    ening
    1.05
    elist
    1.04
    robe
    1.03
    eless
    1.02
    estone
    0.99
    acre
    0.95
    Activations Density 0.025%

    No Known Activations