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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. 24006
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    Explanations

    mentions of specific languages

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Hebrew language and culture

    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
    Downloadha
    -1.06
    awaru
    -0.90
    mble
    -0.84
    olicy
    -0.82
    emonium
    -0.78
    ctive
    -0.77
    ufact
    -0.76
    rella
    -0.75
    NetMessage
    -0.75
    anamo
    -0.73
    POSITIVE LOGITS
     Hebrew
    0.97
    wings
    0.90
     ×
    0.82
    s
    0.80
    hovah
    0.76
    ity
    0.75
     settlers
    0.74
     labou
    0.73
    soever
    0.72
     transl
    0.72
    Activations Density 0.008%

    No Known Activations