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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. 7-RES-JB
    11. 3854
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    Explanations

    phrases related to creating or generating something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that imply the creation of various entities or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enance
    -0.89
    umin
    -0.76
    ér
    -0.70
    hani
    -0.70
    gnu
    -0.70
    WARE
    -0.68
    ère
    -0.66
    sung
    -0.63
    abetic
    -0.63
    umbn
    -0.62
    POSITIVE LOGITS
     rift
    0.86
     havoc
    0.80
     new
    0.74
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.72
     crater
    0.70
     viable
    0.70
     vortex
    0.69
     Frankenstein
    0.68
     believable
    0.68
     persona
    0.68
    Activations Density 0.176%

    No Known Activations