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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. 10-RES-JB
    11. 23405
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     dividing
    -0.62
    itionally
    -0.61
     triggering
    -0.61
     killer
    -0.60
     eject
    -0.60
     accelerated
    -0.59
     Beir
    -0.59
    IGHT
    -0.58
    ovie
    -0.58
    ITION
    -0.57
    POSITIVE LOGITS
    nen
    1.23
    ng
    1.20
    tel
    1.11
    sa
    1.10
    nda
    1.10
    ti
    1.09
    tis
    1.09
    tan
    1.06
    nas
    1.06
    shi
    1.04
    Activations Density 0.035%

    No Known Activations