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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. 7825
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    Explanations

    Filipino language phrases or words

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases in a specific language context

    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
    Forge
    -0.84
     Institution
    -0.78
    FX
    -0.77
     Parish
    -0.76
    Shock
    -0.76
    MpServer
    -0.75
    HAM
    -0.73
    edIn
    -0.72
     Pend
    -0.71
    ingham
    -0.71
    POSITIVE LOGITS
     lang
    0.79
     ll
    0.76
     clearance
    0.74
     bis
    0.72
     po
    0.71
     sher
    0.71
     wildlife
    0.70
     cd
    0.70
     bud
    0.70
     ow
    0.68
    Activations Density 0.058%

    No Known Activations