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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 23307
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    Explanations

    past tense verbs ending in 'ed'

    oai_token-act-pair · gpt-3.5-turbo

    negative or critical sentiments regarding actions or events

    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
    ËĪ
    -0.71
     Monstrous
    -0.67
     fishes
    -0.65
     Demand
    -0.63
    wealth
    -0.61
    heter
    -0.60
     Vald
    -0.60
     TAM
    -0.59
     possession
    -0.59
     trusts
    -0.57
    POSITIVE LOGITS
    senal
    0.92
    ¿½
    0.89
    ozy
    0.86
    ategory
    0.78
    ADRA
    0.77
    yip
    0.75
    hower
    0.75
    ĸļ
    0.74
    oother
    0.74
    imester
    0.73
    Activations Density 0.439%

    No Known Activations