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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. 14390
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    Explanations

    references to a sample or subset within a larger population or dataset

    oai_token-act-pair · gpt-3.5-turbo

    references to "sample" 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
    die
    -0.83
    rid
    -0.79
    dies
    -0.76
    ashington
    -0.74
    lesiastical
    -0.73
     destro
    -0.73
    entity
    -0.72
    iasis
    -0.70
     municip
    -0.70
    lisher
    -0.69
    POSITIVE LOGITS
     sample
    0.89
     Sample
    0.87
     sampling
    0.85
    Grab
    0.82
     samples
    0.79
     sizes
    0.75
    alogy
    0.69
     passers
    0.69
     sampled
    0.68
    meal
    0.67
    Activations Density 0.017%

    No Known Activations