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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. 12-RES-JB
    11. 3786
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    Explanations

    proper nouns related to sports and news events

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    names of people and organizations associated with notable events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    effic
    -0.67
    ater
    -0.64
    zed
    -0.61
    aeda
    -0.60
    by
    -0.58
    ators
    -0.58
    ebted
    -0.57
    joy
    -0.57
    aters
    -0.57
    bie
    -0.56
    POSITIVE LOGITS
     è£ıè
    0.67
    NI
    0.64
     Forest
    0.64
    IPS
    0.64
    opl
    0.62
    HO
    0.62
    NL
    0.59
    ç¥ŀ
    0.58
    Environment
    0.58
    DK
    0.58
    Activations Density 0.352%

    No Known Activations