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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. 15904
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    Explanations

    phrases related to idiomatically expressing a familiar concept or wisdom

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a sequence or consequence

    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
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    Negative Logits
    ussen
    -0.71
    ullah
    -0.70
     Horus
    -0.68
    ricted
    -0.66
    ament
    -0.65
    icio
    -0.64
    hold
    -0.62
    uctor
    -0.62
    ricting
    -0.61
    ipation
    -0.60
    POSITIVE LOGITS
    Ń·
    1.01
    vt
    1.00
    verning
    0.95
    lems
    0.87
     overboard
    0.85
     Forth
    0.82
    ©¶æ
    0.81
    itters
    0.80
    aded
    0.77
    ogl
    0.76
    Activations Density 0.084%

    No Known Activations