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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. 11-RES-JB
    11. 23714
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    Explanations

    phrases indicating effort or commitment to achieve a goal

    oai_token-act-pair · gpt-3.5-turbo

    assertions about actions taken to provide assistance or support

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ench
    -0.67
    terson
    -0.63
     Returning
    -0.60
     ageing
    -0.58
    retty
    -0.54
    ordes
    -0.54
     ascended
    -0.54
    bryce
    -0.53
     Cros
    -0.52
    ategory
    -0.52
    POSITIVE LOGITS
     to
    0.91
     possible
    0.79
     unsuccessfully
    0.71
     imaginable
    0.71
     toget
    0.67
    eto
    0.67
    antic
    0.66
     minimize
    0.66
     valiant
    0.65
    to
    0.65
    Activations Density 0.098%

    No Known Activations