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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. 2-RES-JB
    11. 671
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    Explanations

    proper nouns, specifically names of people and places

    oai_token-act-pair · gpt-4-turbo

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    names and terms related to characters and events involving separation or parting

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gee
    -0.86
    heimer
    -0.75
    gon
    -0.74
    spe
    -0.71
    ECH
    -0.71
    swick
    -0.70
    tions
    -0.67
    mos
    -0.66
    ¶æ
    -0.66
    acher
    -0.66
    POSITIVE LOGITS
     Leilan
    0.99
    sburgh
    0.84
    ILY
    0.80
    OTAL
    0.78
    actionDate
    0.73
    ailable
    0.70
     Mara
    0.69
     Paddock
    0.68
    ODUCT
    0.67
    istani
    0.67
    Activations Density 0.023%

    No Known Activations