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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. 3-RES-JB
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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 @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cipled
    -0.60
    brew
    -0.60
    ::::::::
    -0.57
    ogg
    -0.57
    ori
    -0.55
    ++++++++++++++++
    -0.55
    actionDate
    -0.54
    igl
    -0.54
     BI
    -0.54
    âķIJâķIJ
    -0.53
    POSITIVE LOGITS
    ensis
    0.74
    eers
    0.73
     destro
    0.70
     rul
    0.67
     Constantinople
    0.66
    ttes
    0.66
    chuk
    0.65
     guiActiveUnfocused
    0.63
     laun
    0.62
    stice
    0.62
    Activations Density 1.339%

    No Known Activations