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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. 1-RES-JB
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    Explanations

    locations or references related to the fictional setting "Hobart"

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific fictional location called "Hobart."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -0.95
    terday
    -0.83
    igation
    -0.68
     Sheen
    -0.67
    ablishment
    -0.66
    mble
    -0.65
    ç¥ŀ
    -0.65
    USE
    -0.61
    igating
    -0.61
    vironment
    -0.60
    POSITIVE LOGITS
    gob
    1.33
    bies
    1.20
    nob
    0.92
     Hob
    0.91
    bie
    0.90
    urst
    0.86
    oby
    0.86
    bage
    0.85
    oken
    0.82
    bits
    0.81
    Activations Density 0.006%

    No Known Activations