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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. 20606
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to political priorities and goals

    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
    nery
    -0.75
    otte
    -0.69
    pmwiki
    -0.67
    lege
    -0.65
    arm
    -0.64
    Mech
    -0.63
    ARD
    -0.63
    âķIJ
    -0.62
    unning
    -0.61
    INAL
    -0.60
    POSITIVE LOGITS
    omething
    1.04
    cape
    1.02
    etter
    0.94
    pring
    0.87
    uggest
    0.86
    etting
    0.83
    ettings
    0.83
    afety
    0.81
    hip
    0.81
    pace
    0.79
    Activations Density 0.067%

    No Known Activations