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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. 12-RES-JB
    11. 4052
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    Explanations

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    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    phrases indicating the presence of information or requests for assistance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ËĪ
    -0.59
    kos
    -0.55
    ably
    -0.55
    forth
    -0.55
    ups
    -0.53
    isans
    -0.52
     Dealer
    -0.52
    ipers
    -0.52
    quartered
    -0.52
    itarian
    -0.51
    POSITIVE LOGITS
    information
    0.62
    entary
    0.62
    ent
    0.61
    Internet
    0.59
    Information
    0.58
     information
    0.57
    vertisement
    0.55
    İĭ
    0.55
     pione
    0.54
    otide
    0.53
    Activations Density 0.251%

    No Known Activations