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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. 10-RES-JB
    11. 11499
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    Explanations

    places or destinations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "to"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    selves
    -0.91
    etheless
    -0.77
    terday
    -0.76
    fortunately
    -0.71
    angered
    -0.68
    enance
    -0.67
    worthiness
    -0.65
    manship
    -0.65
    ection
    -0.63
     entit
    -0.62
    POSITIVE LOGITS
    pless
    1.08
     extremes
    1.07
     jail
    1.04
     bed
    1.03
     sleep
    1.00
     lengths
    0.93
     prison
    0.85
     war
    0.84
     bat
    0.84
     hell
    0.81
    Activations Density 0.077%

    No Known Activations