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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. 14813
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    Explanations

    phrases related to spherical objects or concepts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to spheres and spherical concepts

    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
    sbm
    -0.96
     Cosponsors
    -0.87
    essee
    -0.82
    ãģĹ
    -0.75
    OWN
    -0.73
    audi
    -0.72
    ndra
    -0.70
    ARP
    -0.69
    hiro
    -0.68
    ãģĦ
    -0.66
    POSITIVE LOGITS
    icular
    1.04
     spheres
    0.93
    atform
    0.89
     sphere
    0.88
    spr
    0.79
     Sphere
    0.78
    craft
    0.78
     centered
    0.77
     orb
    0.74
    illary
    0.72
    Activations Density 0.006%

    No Known Activations