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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. 7-RES-JB
    11. 11439
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    Explanations

    names of places

    oai_token-act-pair · gpt-3.5-turbo

    words related to names or identifiers, likely pertaining to places or characters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    shire
    -0.83
    Ö¼
    -0.65
    âĦ¢:
    -0.62
     liberties
    -0.61
     Cosponsors
    -0.60
    oulos
    -0.59
     Haunted
    -0.59
    iaries
    -0.58
     absent
    -0.58
     crore
    -0.57
    POSITIVE LOGITS
    zzo
    1.16
    ña
    1.09
    ption
    1.04
    ppa
    1.03
    uthor
    1.03
    ñ
    1.00
    pport
    1.00
    qua
    0.99
    vel
    0.99
    xit
    0.98
    Activations Density 0.170%

    No Known Activations