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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. 11-RES-JB
    11. 22196
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    Explanations

    references to action and event sequences

    oai_token-act-pair · gpt-3.5-turbo

    references to interactions and events related to competitive situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Palest
    -0.87
     Palestin
    -0.84
     Bridges
    -0.84
    ahime
    -0.84
    bara
    -0.82
     Hath
    -0.81
     Abbas
    -0.79
    aeda
    -0.78
    usalem
    -0.75
    iHUD
    -0.75
    POSITIVE LOGITS
     Sn
    2.27
    Sn
    2.23
    sn
    2.06
     sn
    1.84
     Snap
    1.65
     Sno
    1.64
    SN
    1.54
     SN
    1.52
    Snap
    1.51
     Sm
    1.51
    Activations Density 0.208%

    No Known Activations