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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. 4-RES-JB
    11. 161
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    Explanations

    people or objects being noticed or observed in various situations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "spotted" indicating sightings or observations

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

    No Comments

    Negative Logits
    vernment
    -0.83
    idem
    -0.73
    industrial
    -0.72
    bern
    -0.71
    externalActionCode
    -0.70
    mort
    -0.70
    nesia
    -0.70
    ayers
    -0.69
    pires
    -0.66
    ository
    -0.65
    POSITIVE LOGITS
    bugs
    0.97
     owl
    0.90
     spotted
    0.86
    lights
    0.79
     sightings
    0.76
     Owl
    0.74
    seeing
    0.71
    ãĤĬ
    0.71
    flies
    0.71
    footed
    0.71
    Activations Density 0.028%

    No Known Activations