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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. 14358
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    Explanations

    mentions of a specific location called "Hobart"

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "Hob," likely indicating something specific or central to the context being discussed

    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
    xual
    -0.94
    terday
    -0.89
     Sheen
    -0.67
    ç¥ŀ
    -0.66
     polarized
    -0.65
    mble
    -0.64
    USE
    -0.61
     Titanic
    -0.60
     relativity
    -0.59
     choir
    -0.59
    POSITIVE LOGITS
    bies
    1.37
    gob
    1.32
    bie
    1.12
    nob
    1.04
    bage
    1.01
    aby
    0.96
    rod
    0.93
    oken
    0.93
    urst
    0.90
    bing
    0.90
    Activations Density 0.008%

    No Known Activations