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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. 8-RES-JB
    11. 496
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    INDEX
    Explanations

    words related to complexity, opacity, and unclear situations

    oai_token-act-pair · gpt-3.5-turbo

    terms indicating complexity or obscurity in situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rikes
    -0.84
    ighed
    -0.77
    ablishment
    -0.77
    baugh
    -0.76
    orers
    -0.75
    arers
    -0.73
    oration
    -0.73
    oji
    -0.73
    arer
    -0.73
    §
    -0.73
    POSITIVE LOGITS
     knots
    0.89
     intertw
    0.89
     Situation
    0.86
     knot
    0.84
     circumstances
    0.83
     ambig
    0.81
     entangled
    0.80
     thorn
    0.80
     waters
    0.76
     terrain
    0.76
    Activations Density 0.140%

    No Known Activations