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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. 9-RES-JB
    11. 10229
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    Explanations

    words related to the Serbian language

    oai_token-act-pair · gpt-3.5-turbo

    relationships to water or associated terms

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    utes
    -0.86
    ured
    -0.84
    obs
    -0.82
    uted
    -0.81
    ature
    -0.81
    ulously
    -0.80
    uting
    -0.80
    ures
    -0.73
    els
    -0.70
    utable
    -0.70
    POSITIVE LOGITS
    pillar
    1.00
    ±
    0.95
    ¹
    0.83
    alking
    0.83
    bral
    0.81
    pn
    0.77
    ¼
    0.75
    »
    0.75
    Ö¼
    0.75
    apy
    0.75
    Activations Density 0.071%

    No Known Activations