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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. 8-RES-JB
    6. 21196
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    Explanations

    conditional statements starting with "Had"

    oai_token-act-pair · gpt-3.5-turbo

    phrases that include the word "Had" indicating hypothetical scenarios or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     outp
    -0.64
     neigh
    -0.64
    FTWARE
    -0.62
     repay
    -0.60
     juggling
    -0.59
    ilings
    -0.59
     shake
    -0.59
     shedding
    -0.59
     dish
    -0.59
     scrimmage
    -0.58
    POSITIVE LOGITS
    iths
    1.05
     been
    1.00
    luck
    0.95
    ith
    0.93
    kson
    0.92
    been
    0.91
    rons
    0.89
    hers
    0.88
    oop
    0.86
    ron
    0.86
    Activations Density 0.102%

    No Known Activations