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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. 0-RES-JB
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    Explanations

    specific locations or places like plazas in varying contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific locations or plazas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atical
    -0.74
     lear
    -0.67
    drawn
    -0.66
     FB
    -0.64
     hiber
    -0.63
     scept
    -0.63
    gars
    -0.62
     retard
    -0.61
    wolves
    -0.61
    rates
    -0.60
    POSITIVE LOGITS
     Plaza
    4.00
     plaza
    2.41
     Coliseum
    1.41
     Boulevard
    1.33
     Square
    1.30
     Pavilion
    1.24
     Parkway
    1.21
     Towers
    1.14
     Tower
    1.13
     Mall
    1.13
    Activations Density 0.015%

    No Known Activations