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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. 10-RES-JB
    11. 6444
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    Explanations

    names and terms related to individuals

    oai_token-act-pair · gpt-3.5-turbo

    content related to specific names or identifiers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    BILITIES
    -0.81
     canned
    -0.76
    BILITY
    -0.69
    kefeller
    -0.69
    ©¶æ
    -0.66
    clave
    -0.64
     pack
    -0.63
     packs
    -0.63
    earable
    -0.62
     wit
    -0.59
    POSITIVE LOGITS
     Pradesh
    0.76
    ometown
    0.71
    ashtra
    0.68
    aunts
    0.64
    oola
    0.64
    uddin
    0.64
    abee
    0.63
    oub
    0.63
     Sie
    0.62
    undai
    0.62
    Activations Density 0.120%

    No Known Activations