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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. 24233
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    Explanations

    proper nouns, specifically focusing on the name "Fraser" with varying specificity and contexts

    oai_token-act-pair · gpt-3.5-turbo

    the name "Fraser" and its variants

    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
    ership
    -0.75
    oxide
    -0.74
    footed
    -0.72
    eers
    -0.68
    Pg
    -0.67
    ograph
    -0.65
    ynthesis
    -0.63
     ballpark
    -0.61
    agonists
    -0.60
    ocrine
    -0.59
    POSITIVE LOGITS
     Fraser
    1.07
    burgh
    0.85
    shire
    0.82
     Valley
    0.74
     Strait
    0.74
     Harbour
    0.73
    herty
    0.72
    endish
    0.68
    ORTS
    0.67
    ble
    0.65
    Activations Density 0.013%

    No Known Activations