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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

    mentions of places or neighborhoods, specifically those containing the word 'mont'

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "mont" in various contexts

    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
    RAM
    -0.72
     UID
    -0.70
    soDeliveryDate
    -0.70
    cial
    -0.69
     predictive
    -0.64
    volume
    -0.64
    OD
    -0.63
    Balt
    -0.63
    emic
    -0.63
     Numbers
    -0.63
    POSITIVE LOGITS
    gomery
    1.13
    mont
    1.13
    agne
    0.89
    clair
    0.88
    rique
    0.86
    erey
    0.82
    fort
    0.79
    ipop
    0.77
    ella
    0.77
    aste
    0.77
    Activations Density 0.006%

    No Known Activations