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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. 2-RES-JB
    11. 6864
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    Explanations

    words related to sequences or processes that involve a progression or development that leads to an outcome

    oai_token-act-pair · gpt-3.5-turbo

    words related to the concept of "ceding" or yielding control

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sights
    -0.70
     magnification
    -0.66
    isha
    -0.62
    Balt
    -0.62
     traveller
    -0.61
    boats
    -0.61
     Barkley
    -0.60
    è£ħ
    -0.60
    çĦ
    -0.59
     Belg
    -0.59
    POSITIVE LOGITS
    ragon
    1.09
    dit
    0.90
    umbnail
    0.87
    ez
    0.86
    oing
    0.82
    ced
    0.81
    urally
    0.79
    ures
    0.76
    inct
    0.75
    coni
    0.75
    Activations Density 0.010%

    No Known Activations