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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. 3-RES-JB
    11. 3164
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    Explanations

    the concept of rarity or uncommonness

    oai_token-act-pair · gpt-3.5-turbo

    the concept of rarity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abal
    -0.82
    mosp
    -0.80
    akespeare
    -0.79
    alach
    -0.71
    iants
    -0.71
    verning
    -0.68
    itution
    -0.68
    atoon
    -0.66
     Hilton
    -0.66
    apa
    -0.66
    POSITIVE LOGITS
     occurrence
    0.96
     occurrences
    0.92
    ãĥ¬
    0.91
    ãĥ©ãĥ³
    0.87
     rare
    0.84
    istically
    0.84
    Rare
    0.81
    pmwiki
    0.78
    ishly
    0.76
    Uncommon
    0.75
    Activations Density 0.012%

    No Known Activations