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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. 7090
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    Explanations

    keywords related to reunions or coming back together

    oai_token-act-pair · gpt-3.5-turbo

    terms related to reunion or coming together

    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
    erity
    -0.79
    vern
    -0.70
    peer
    -0.69
    FT
    -0.66
    ģ
    -0.65
    \\\\\\\\\\\\\\\\
    -0.65
    ¸
    -0.64
    hemat
    -0.64
    renheit
    -0.63
    jit
    -0.63
    POSITIVE LOGITS
     reunited
    1.08
     reun
    1.04
     reunion
    0.86
    owship
    0.83
    ees
    0.79
    hips
    0.76
    essional
    0.75
    ITED
    0.72
    itational
    0.70
    iting
    0.68
    Activations Density 0.018%

    No Known Activations