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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. 4414
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    oai_token-act-pair · gpt-3.5-turbo

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    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
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    No Comments

    Negative Logits
    bilt
    -0.63
    webkit
    -0.62
    NRS
    -0.58
    anka
    -0.58
    Ped
    -0.58
    cheat
    -0.54
     ACTIONS
    -0.54
     merit
    -0.53
     compile
    -0.53
    achine
    -0.52
    POSITIVE LOGITS
    ournals
    0.61
    loe
    0.61
    DVD
    0.58
     Simulator
    0.57
    etch
    0.57
     Jol
    0.56
    mma
    0.55
    iffin
    0.54
     Clear
    0.54
    anyon
    0.54
    Activations Density 0.998%

    No Known Activations