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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. 4217
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    Explanations

    words related to travel or physical locations

    oai_token-act-pair · gpt-3.5-turbo

    words or phrases related to specific colors or shades

    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
    lessly
    -0.78
    thodox
    -0.70
    oulos
    -0.70
     infringing
    -0.66
    odium
    -0.65
    avid
    -0.65
    akespe
    -0.65
    real
    -0.65
    ILY
    -0.64
    INGTON
    -0.63
    POSITIVE LOGITS
    ige
    0.99
    naire
    0.78
    baum
    0.77
    uner
    0.75
     Doodle
    0.73
     Owl
    0.72
     Jacket
    0.71
    rosso
    0.71
     Dise
    0.70
    pta
    0.70
    Activations Density 0.012%

    No Known Activations