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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. 6-RES-JB
    11. 9658
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    Explanations

    words related to specific languages, particularly "ese."

    oai_token-act-pair · gpt-3.5-turbo

    words related to specific locations or geographical references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    azine
    -0.84
    ilater
    -0.82
    ihar
    -0.81
    razil
    -0.78
    alist
    -0.71
    ãĥ¼ãĥĨ
    -0.71
    rid
    -0.69
     Cumm
    -0.69
    iary
    -0.67
    ially
    -0.64
    POSITIVE LOGITS
    wei
    0.81
    clair
    0.78
    lect
    0.77
    heng
    0.75
    ktop
    0.75
    uth
    0.72
    y
    0.69
    zza
    0.68
     maj
    0.68
    vere
    0.68
    Activations Density 0.028%

    No Known Activations