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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. 6-RES-JB
    11. 7119
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    Explanations

    words or phrases associated with rarity or infrequency

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating rarity or infrequency

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oÄŁ
    -0.73
     Universe
    -0.71
     Pant
    -0.67
    anth
    -0.67
    utenberg
    -0.65
     Destruction
    -0.65
    MAP
    -0.64
     Sequence
    -0.64
    arta
    -0.64
    ye
    -0.63
    POSITIVE LOGITS
    theless
    1.32
    entimes
    1.13
    icably
    1.03
     bothered
    0.90
     bother
    0.85
    epad
    0.84
    pmwiki
    0.82
    icable
    0.80
     dime
    0.79
     EVER
    0.77
    Activations Density 0.011%

    No Known Activations