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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. 4-RES-JB
    11. 12432
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to future predictions or scenarios

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

    No Comments

    Negative Logits
     waters
    -0.81
    gow
    -0.80
    hips
    -0.75
    apy
    -0.74
    pherd
    -0.71
    adesh
    -0.71
     sclerosis
    -0.70
     slopes
    -0.67
    artney
    -0.66
    anguage
    -0.66
    POSITIVE LOGITS
    ility
    1.14
    urity
    0.95
    ures
    0.93
    ilitarian
    0.83
     Fut
    0.78
    zel
    0.78
    selage
    0.78
    rell
    0.78
    bol
    0.77
    alist
    0.76
    Activations Density 0.003%

    No Known Activations