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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. 11-RES-JB
    11. 14058
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    Explanations

    topics or events that are receiving attention or coverage in the public or media

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to public attention and media coverage

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
    HAM
    -0.76
    maid
    -0.73
    reb
    -0.65
    Skill
    -0.64
    coni
    -0.64
    Shipping
    -0.63
     ][
    -0.61
    Weak
    -0.61
    iliate
    -0.60
    cair
    -0.60
    POSITIVE LOGITS
     headlines
    1.61
     consciousness
    1.40
     spotlight
    1.37
     conversation
    1.31
     minds
    1.31
     discourse
    1.28
     forefront
    1.20
     discussion
    1.17
     imagination
    1.16
     radar
    1.16
    Activations Density 0.298%

    No Known Activations