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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. 7-RES-JB
    11. 14557
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    Explanations

    mentions of different cities

    oai_token-act-pair · gpt-3.5-turbo

    references to cities and towns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    odox
    -0.74
    gotten
    -0.74
    iasis
    -0.72
    arial
    -0.71
    iverse
    -0.71
    raid
    -0.69
    raviolet
    -0.68
    yip
    -0.68
    tsy
    -0.67
    sonian
    -0.66
    POSITIVE LOGITS
    chool
    1.02
    hips
    1.01
    hare
    0.99
     mayors
    0.90
    folk
    0.87
    scape
    0.80
    cape
    0.79
     vying
    0.75
     bordering
    0.73
     viz
    0.73
    Activations Density 0.072%

    No Known Activations