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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. 2-RES-JB
    11. 11692
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    INDEX
    Explanations

    repetitive phrases or exclamatory words

    oai_token-act-pair · gpt-3.5-turbo

    the presence of names and repeated phrases or words

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Loading
    -0.59
     Volunte
    -0.53
    Kick
    -0.52
    ãĤ´ãĥ³
    -0.49
    ovember
    -0.46
     Zac
    -0.46
     Aure
    -0.46
     Mub
    -0.45
    993
    -0.45
    ĵĺ
    -0.45
    POSITIVE LOGITS
    livious
    0.54
    noxious
    0.53
    ipes
    0.52
    ongyang
    0.51
     sqor
    0.51
     peripher
    0.51
    ilogy
    0.51
    hern
    0.51
    osuke
    0.50
    amiya
    0.50
    Activations Density 2.910%

    No Known Activations