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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. 24516
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    Explanations

    mentions of the presence or absence of different entities or conditions in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the concept of "presence" in various contexts

    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
    terness
    -0.75
    >]
    -0.70
    iciary
    -0.69
    >>\
    -0.69
    phia
    -0.67
    arta
    -0.67
    igue
    -0.65
    externalActionCode
    -0.64
    Merit
    -0.63
    yssey
    -0.63
    POSITIVE LOGITS
     detectable
    0.72
     certain
    0.70
     signs
    0.69
     latent
    0.69
     abnormalities
    0.68
     gravitational
    0.67
     aliens
    0.67
     UFOs
    0.66
     anomalies
    0.66
     such
    0.65
    Activations Density 0.114%

    No Known Activations