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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. 15274
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    Explanations

    phrases related to accumulation or collection

    oai_token-act-pair · gpt-3.5-turbo

    terms related to accumulation or gathering of resources and information

    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
    word
    -0.75
    hift
    -0.74
    sey
    -0.72
    jah
    -0.68
    hop
    -0.67
    hov
    -0.67
    bill
    -0.65
    pher
    -0.65
    otiation
    -0.65
    send
    -0.64
    POSITIVE LOGITS
    ulative
    1.18
     accumulated
    1.10
     accumulation
    1.09
     accumulate
    1.06
     accum
    1.04
     accumulating
    1.02
     piles
    0.87
    ulators
    0.84
     streaks
    0.80
    itures
    0.78
    Activations Density 0.029%

    No Known Activations