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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. 8462
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    Explanations

    words related to tendencies or inclinations

    oai_token-act-pair · gpt-3.5-turbo

    repeated phrases indicating tendencies or patterns in behavior

    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
    Not in Any Lists

    No Comments

    Negative Logits
    gur
    -0.73
    arta
    -0.72
    lain
    -0.67
    yz
    -0.65
     Bunker
    -0.60
    fil
    -0.60
     Agenda
    -0.59
    ft
    -0.58
    ZA
    -0.56
    zbek
    -0.56
    POSITIVE LOGITS
    rils
    1.29
    entious
    1.12
    ril
    1.00
    erers
    0.89
    entimes
    0.89
    erer
    0.87
    erest
    0.87
    uce
    0.82
    ensical
    0.81
    eman
    0.77
    Activations Density 0.014%

    No Known Activations