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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. 6-RES-JB
    11. 10924
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    Explanations

    locations and institutions

    oai_token-act-pair · gpt-3.5-turbo

    specific locations or institutions, particularly in a civic or governmental context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    depending
    -0.71
    assian
    -0.67
    kish
    -0.64
    thora
    -0.63
    alid
    -0.62
    actionDate
    -0.61
    reasonable
    -0.60
    imil
    -0.58
     corrid
    -0.58
    chrom
    -0.57
    POSITIVE LOGITS
    ensis
    0.65
     fame
    0.61
    naire
    0.60
    eus
    0.59
    plates
    0.58
    orum
    0.58
     Milo
    0.57
     Ltd
    0.57
    sson
    0.57
     pageant
    0.56
    Activations Density 0.823%

    No Known Activations