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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. 4-RES-JB
    11. 22582
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    Explanations

    verbs related to planning and scheming

    oai_token-act-pair · gpt-3.5-turbo

    words related to scheming and opportunistic behavior

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     ILCS
    -0.79
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.66
     abund
    -0.65
    electric
    -0.63
     ambient
    -0.62
     Tsukuyomi
    -0.62
     footprints
    -0.61
     inhabitants
    -0.60
     unexplained
    -0.60
     Atmospheric
    -0.59
    POSITIVE LOGITS
    eering
    0.82
    anamo
    0.78
    quel
    0.74
    eers
    0.74
    udic
    0.72
    poke
    0.70
    eer
    0.70
    odge
    0.69
    zzle
    0.69
    ioned
    0.69
    Activations Density 0.136%

    No Known Activations