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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. 5472
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    Explanations

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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 @ 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
    anooga
    -0.98
    atche
    -0.74
    unin
    -0.73
    maxwell
    -0.72
    inx
    -0.68
    arnaev
    -0.68
    soDeliveryDate
    -0.65
    atility
    -0.64
    earchers
    -0.64
    ĵĺ
    -0.62
    POSITIVE LOGITS
    oid
    0.99
    ishly
    0.88
    iop
    0.87
    oids
    0.85
    ysis
    0.82
    buster
    0.81
    osite
    0.77
     Devices
    0.76
    vana
    0.73
    ogenesis
    0.72
    Activations Density 0.026%

    No Known Activations